100+ datasets found
  1. f

    DATA SHEET.csv

    • figshare.com
    csv
    Updated Jan 14, 2025
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    Dola Saha (2025). DATA SHEET.csv [Dataset]. http://doi.org/10.6084/m9.figshare.28203392.v1
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    csvAvailable download formats
    Dataset updated
    Jan 14, 2025
    Dataset provided by
    figshare
    Authors
    Dola Saha
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Breast cancer is one of the most prevalent cancers among women worldwide, and early detection is crucial for reducing mortality rates and improving treatment outcomes. Mammography has been the gold standard for breast cancer screening, offering non-invasive imaging to identify suspicious abnormalities. However, mammography has limitations, such as variability in interpretation, false positives, false negatives, and challenges in distinguishing between benign and malignant lesions.Machine learning has the potential to revolutionize breast cancer detection by enhancing the capabilities of mammography. Its ability to improve accuracy, efficiency, and consistency in diagnosis makes it an indispensable tool for early detection efforts.This study focuses on developing a machine learning-based predictive model for the early detection and classification of breast cancer, utilizing the Wisconsin Breast Cancer Diagnostic dataset. Special emphasis is placed on the potential of ML algorithms, particularly the Support Vector Classifier with a Radial Basis Function (SVC-RBF), to enhance diagnostic accuracy and efficiency.Machine learning has the potential to revolutionize breast cancer detection by enhancing the capabilities of mammography. Its ability to improve accuracy, efficiency, and consistency in diagnosis makes it an indispensable tool for early detection efforts.

  2. c

    computer aided detection cad for breast cancer screening Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Aug 7, 2025
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    Data Insights Market (2025). computer aided detection cad for breast cancer screening Report [Dataset]. https://www.datainsightsmarket.com/reports/computer-aided-detection-cad-for-breast-cancer-screening-1474478
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for Computer-Aided Detection (CAD) in breast cancer screening is experiencing robust growth, driven by several key factors. Increasing prevalence of breast cancer, coupled with the rising demand for improved diagnostic accuracy and efficiency, are major catalysts. Advances in AI and machine learning algorithms are significantly enhancing the capabilities of CAD systems, enabling earlier and more accurate detection of cancerous lesions, even in mammograms with subtle abnormalities. This leads to improved patient outcomes, reduced mortality rates, and a higher quality of life. Furthermore, the integration of CAD with other imaging modalities, like ultrasound and MRI, is expanding its application and market potential. However, factors such as high initial investment costs for CAD systems, the need for skilled professionals for interpretation and workflow integration, and concerns regarding regulatory approvals and reimbursement policies pose challenges to market expansion. Nevertheless, ongoing technological advancements and growing awareness regarding the benefits of early detection are expected to outweigh these restraints, fostering significant market growth in the coming years. The market is segmented based on several factors, including modality (mammography, ultrasound, MRI), type of CAD system (2D, 3D), and end-user (hospitals, clinics, imaging centers). North America and Europe currently hold significant market shares, driven by established healthcare infrastructure and higher adoption rates of advanced technologies. However, emerging markets in Asia-Pacific and Latin America are witnessing rapid growth, fueled by increasing healthcare investments and rising awareness about breast cancer screening. Considering a conservative estimate, a market size of $1.5 billion in 2025 with a CAGR of 12% over the forecast period (2025-2033) is plausible. This translates to substantial growth, reaching approximately $5 billion by 2033. This projection accounts for the market dynamics and incorporates moderate growth assumptions given the various influencing factors.

  3. B

    Breast AI-assisted Diagnosis Solution Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 2, 2025
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    Market Report Analytics (2025). Breast AI-assisted Diagnosis Solution Report [Dataset]. https://www.marketreportanalytics.com/reports/breast-ai-assisted-diagnosis-solution-53721
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for AI-assisted breast cancer diagnosis solutions is experiencing robust growth, driven by the increasing prevalence of breast cancer, advancements in artificial intelligence (AI) and machine learning (ML) technologies, and a rising demand for accurate and efficient diagnostic tools. The market's Compound Annual Growth Rate (CAGR) is estimated to be around 15%, reflecting a significant expansion from its current size. This growth is fueled by the ability of AI to analyze mammograms, ultrasounds, and other medical images with greater speed and accuracy than traditional methods, leading to earlier detection, improved treatment outcomes, and ultimately, increased patient survival rates. Furthermore, regulatory approvals and reimbursements for AI-based diagnostic tools are steadily increasing, further stimulating market expansion. Key segments driving growth include AI-powered image analysis software and cloud-based platforms, along with applications in screening, diagnosis, and prognosis. The market is also segmented geographically, with North America and Europe currently holding significant shares due to advanced healthcare infrastructure and increased adoption rates. However, rapidly developing economies in Asia-Pacific are poised for significant growth in the coming years. While the market presents substantial opportunities, challenges remain. High initial investment costs associated with implementing AI systems, data privacy and security concerns, and the need for robust clinical validation and regulatory compliance pose obstacles to widespread adoption. Moreover, the integration of AI into existing healthcare workflows can be complex, requiring significant training and expertise. Despite these challenges, the long-term prospects for AI-assisted breast cancer diagnosis remain exceedingly positive, with ongoing technological advancements and increased collaboration between AI developers, healthcare providers, and regulatory bodies poised to overcome these hurdles and accelerate market growth. The forecast period (2025-2033) is expected to witness particularly strong growth as AI solutions become increasingly integrated into routine clinical practice.

  4. f

    Approaches comparison on the DBT dataset.

    • plos.figshare.com
    xls
    Updated Oct 2, 2024
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    Mudassar Ali; Tong Wu; Haoji Hu; Tariq Mahmood (2024). Approaches comparison on the DBT dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0309421.t004
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    xlsAvailable download formats
    Dataset updated
    Oct 2, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Mudassar Ali; Tong Wu; Haoji Hu; Tariq Mahmood
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PurposeUsing computer-aided design (CAD) systems, this research endeavors to enhance breast cancer segmentation by addressing data insufficiency and data complexity during model training. As perceived by computer vision models, the inherent symmetry and complexity of mammography images make segmentation difficult. The objective is to optimize the precision and effectiveness of medical imaging.MethodsThe study introduces a hybrid strategy combining shape-guided segmentation (SGS) and M3D-neural cellular automata (M3D-NCA), resulting in improved computational efficiency and performance. The implementation of Shape-guided segmentation (SGS) during the initialization phase, coupled with the elimination of convolutional layers, enables the model to effectively reduce computation time. The research proposes a novel loss function that combines segmentation losses from both components for effective training.ResultsThe robust technique provided aims to improve the accuracy and consistency of breast tumor segmentation, leading to significant improvements in medical imaging and breast cancer detection and treatment.ConclusionThis study enhances breast cancer segmentation in medical imaging using CAD systems. Combining shape-guided segmentation (SGS) and M3D-neural cellular automata (M3D-NCA) is a hybrid approach that improves performance and computational efficiency by dealing with complex data and not having enough training data. The approach also reduces computing time and improves training efficiency. The study aims to improve breast cancer detection and treatment methods in medical imaging technology.

  5. Breast Cancer Screening Market - Growth, Trends, Share & Size

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Apr 23, 2025
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    Mordor Intelligence (2025). Breast Cancer Screening Market - Growth, Trends, Share & Size [Dataset]. https://www.mordorintelligence.com/industry-reports/global-breast-cancer-screening-tests-market-industry
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2021 - 2030
    Area covered
    Global
    Description

    The Breast Cancer Screening Tests Market is Segmented by Test (Genomic Tests and Imaging Tests) and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America). The report offers the value (in USD million) for the above segments.

  6. C

    Computer-aided Detection (CAD) for Breast Cancer Screening Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jul 8, 2025
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    Archive Market Research (2025). Computer-aided Detection (CAD) for Breast Cancer Screening Report [Dataset]. https://www.archivemarketresearch.com/reports/computer-aided-detection-cad-for-breast-cancer-screening-140900
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Computer-Aided Detection (CAD) for Breast Cancer Screening market is experiencing robust growth, driven by the increasing prevalence of breast cancer globally, advancements in imaging technologies, and the rising demand for improved diagnostic accuracy. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% during the forecast period of 2025-2033. This significant growth is fueled by several key factors. Technological advancements, including the development of AI-powered CAD systems, are leading to more accurate and efficient detection of cancerous lesions, reducing the risk of missed diagnoses and improving patient outcomes. Furthermore, the increasing adoption of digital mammography and the rising awareness of breast cancer screening programs are significantly contributing to market expansion. The integration of CAD systems into existing healthcare workflows is streamlined, making adoption easier for healthcare providers. However, factors such as high initial investment costs for CAD systems, the need for skilled professionals to interpret CAD results, and potential regulatory hurdles can act as restraints to market growth. Despite these challenges, the market is poised for substantial expansion. The ongoing research and development in CAD technology, coupled with the increasing focus on early detection and improved treatment strategies, are creating new opportunities for growth. Segmentation analysis reveals strong growth potential in AI-powered CAD systems, which offer higher accuracy and efficiency compared to traditional methods. Geographic segmentation indicates North America and Europe as dominant regions initially, due to robust healthcare infrastructure and high adoption rates. However, the emerging markets in Asia-Pacific and Latin America are projected to experience significant growth in the coming years due to rising healthcare expenditure and increasing awareness of breast cancer screening. The competitive landscape is characterized by a mix of established players and emerging technology providers, indicating a dynamic and innovative market.

  7. B

    Breast AI-assisted Diagnosis Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 23, 2025
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    Data Insights Market (2025). Breast AI-assisted Diagnosis Software Report [Dataset]. https://www.datainsightsmarket.com/reports/breast-ai-assisted-diagnosis-software-529642
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    doc, pdf, pptAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for AI-assisted breast cancer diagnosis software is experiencing robust growth, driven by the increasing prevalence of breast cancer, advancements in artificial intelligence technology, and the demand for improved diagnostic accuracy and efficiency. The market's expansion is fueled by the ability of AI algorithms to analyze medical images (mammograms, ultrasounds, etc.) with greater speed and precision than human radiologists alone, leading to earlier and more accurate diagnoses. This translates to improved patient outcomes, reduced healthcare costs associated with delayed or misdiagnosis, and enhanced workflow efficiency for healthcare providers. While challenges remain, such as regulatory hurdles, data privacy concerns, and the need for robust validation studies, the market is projected to witness significant expansion in the coming years. The presence of numerous key players, including established medical technology companies and innovative AI startups, signifies the significant investment and future potential of this sector. Competition is likely to intensify as companies strive to differentiate their offerings through advanced algorithms, comprehensive software suites, and strategic partnerships. Technological advancements in deep learning and computer vision are further propelling market growth. The development of AI algorithms capable of identifying subtle patterns and anomalies in medical images, which may be overlooked by the human eye, is crucial. Furthermore, the increasing accessibility of high-quality medical imaging data is facilitating the training and improvement of AI models. Regional variations in market growth will likely reflect differences in healthcare infrastructure, technological adoption rates, and the prevalence of breast cancer. North America and Europe are expected to dominate the market initially, due to established healthcare systems and higher technological adoption rates. However, the Asia-Pacific region is poised for substantial growth, driven by increasing healthcare spending and a rising incidence of breast cancer. The long-term forecast reflects a continued upward trajectory, underpinned by ongoing technological innovations and increased acceptance of AI in clinical practice.

  8. B

    Breast DR Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Sep 20, 2025
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    Data Insights Market (2025). Breast DR Report [Dataset]. https://www.datainsightsmarket.com/reports/breast-dr-1740213
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Sep 20, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Breast DR market is projected to experience substantial growth, driven by increasing awareness of breast cancer early detection and the rising incidence of the disease worldwide. With a robust estimated market size of XXX million dollars and a projected Compound Annual Growth Rate (CAGR) of XX% from 2025 to 2033, the market is poised for significant expansion. This growth is fueled by advancements in imaging technology, leading to the adoption of Full Digital Mammography (FFDM) and Digital Breast Tomosynthesis (DBT), which offer superior diagnostic accuracy and patient comfort compared to traditional methods. Hospitals and clinics are increasingly investing in these advanced digital systems to enhance their diagnostic capabilities and improve patient outcomes. The growing demand for comprehensive breast health screening programs, coupled with supportive government initiatives and increasing healthcare expenditure, further propels market momentum. The Breast DR market is characterized by a dynamic competitive landscape with major global players such as Hologic, GE Healthcare, and Siemens Healthineers at the forefront. These companies are continuously innovating, introducing enhanced imaging solutions and expanding their product portfolios to cater to evolving healthcare needs. However, challenges such as the high initial cost of digital mammography systems and the need for skilled personnel to operate and interpret the images may present some restraints. Geographically, North America and Europe are anticipated to lead the market due to established healthcare infrastructures and high adoption rates of advanced medical technologies. The Asia Pacific region, particularly China and India, is expected to witness the fastest growth, driven by a burgeoning patient population, increasing disposable incomes, and a growing emphasis on preventative healthcare measures. The market segmentation by type highlights a strong preference for FFDM and DBT, with DBT gaining traction due to its ability to reduce tissue overlap and detect subtle lesions. This report provides an in-depth analysis of the global Breast DR (Digital Radiography) market, offering a comprehensive understanding of its current landscape, historical trajectory, and future potential. Spanning a study period from 2019 to 2033, with a base year of 2025 and a detailed forecast period of 2025-2033, this research delves into the intricate dynamics influencing market growth and evolution. The historical period of 2019-2024 lays the groundwork for understanding past performance and identifying key trends that have shaped the market. Our comprehensive coverage includes an assessment of market size, growth rates, segmentation, competitive landscape, and emerging trends, all vital for strategic decision-making in this rapidly advancing field.

  9. M

    Molecular Breast Imaging Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 19, 2025
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    Archive Market Research (2025). Molecular Breast Imaging Report [Dataset]. https://www.archivemarketresearch.com/reports/molecular-breast-imaging-143819
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Molecular Breast Imaging (MBI) market is experiencing robust growth, driven by increasing awareness of its advantages over traditional mammography, particularly in detecting breast cancer in women with dense breast tissue. The market, estimated at $200 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including technological advancements leading to improved image quality and reduced radiation exposure, rising prevalence of breast cancer globally, and increasing adoption of MBI in hospitals and diagnostic centers. The non-invasive nature of the procedure and its ability to provide high-resolution images contribute significantly to its growing popularity. Key players like Dilon Technologies, CMR Naviscan, Digirad, GE Healthcare, and even major medical institutions like the Mayo Clinic are actively involved in driving market expansion through technological innovations and strategic partnerships. Despite the significant growth potential, the market faces certain restraints. High initial investment costs associated with MBI equipment and the need for specialized training for technicians and radiologists can hinder wider adoption, especially in resource-constrained settings. Furthermore, the reimbursement landscape for MBI varies across different healthcare systems, posing a challenge to market penetration. However, ongoing research and development efforts focused on enhancing image analysis techniques and reducing the cost of MBI systems are expected to mitigate these challenges and sustain the market's trajectory of growth. The segmentation of the market is primarily based on technology, application, and geography, with North America currently holding the largest market share due to higher healthcare expenditure and advanced infrastructure.

  10. B

    Breast AI-assisted Diagnosis Software Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 2, 2025
    + more versions
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    Market Report Analytics (2025). Breast AI-assisted Diagnosis Software Report [Dataset]. https://www.marketreportanalytics.com/reports/breast-ai-assisted-diagnosis-software-53501
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for AI-assisted breast cancer diagnosis software is experiencing robust growth, driven by the increasing prevalence of breast cancer, advancements in artificial intelligence and machine learning technologies, and the demand for improved diagnostic accuracy and efficiency. The market's Compound Annual Growth Rate (CAGR) is estimated to be around 15% between 2025 and 2033, projecting significant expansion from an estimated market size of $500 million in 2025 to over $1.5 billion by 2033. Key market drivers include the need to reduce diagnostic errors, improve early detection rates, and streamline workflow in radiology departments. The rising adoption of telemedicine and remote diagnostic capabilities further fuels this growth. Market segmentation reveals strong demand across various applications, including mammogram analysis, ultrasound image analysis, and potentially MRI and other imaging modalities. North America currently holds the largest market share, driven by technological advancements, higher healthcare spending, and early adoption of AI solutions. However, regions like Asia-Pacific are expected to exhibit faster growth rates due to increasing healthcare infrastructure development and a growing awareness of the benefits of AI in cancer diagnosis. Despite these positive trends, the market faces challenges, such as regulatory hurdles in approving AI-based medical devices, high initial investment costs for hospitals and clinics, and concerns regarding data privacy and security. The segmentation of the market by type focuses on the specific algorithms and software functionalities. This includes solutions focusing on automated lesion detection, computer-aided diagnosis (CAD) systems providing quantitative measurements and risk assessment, and increasingly sophisticated solutions offering comprehensive image analysis and reporting. The application segmentation encompasses the various imaging modalities used in breast cancer detection. Leading companies in this sector are continuously investing in R&D to improve the accuracy, speed, and usability of their AI software. Strategic partnerships between software providers, imaging equipment manufacturers, and healthcare institutions are crucial for successful market penetration and widespread adoption. Future market growth will be influenced by technological innovations, regulatory approvals, reimbursement policies, and the successful integration of AI solutions into existing healthcare workflows.

  11. D

    Automated Breast Ultrasound Systems Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 12, 2024
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    Dataintelo (2024). Automated Breast Ultrasound Systems Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/automated-breast-ultrasound-systems-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Automated Breast Ultrasound Systems Market Outlook



    The global market size for Automated Breast Ultrasound Systems (ABUS) was valued at approximately USD 945 million in 2023 and is projected to reach around USD 2.3 billion by 2032, growing at a robust CAGR of 10.3% during the forecast period. This significant growth can be attributed to the rising prevalence of breast cancer, increased awareness regarding early detection, and technological advancements in breast imaging techniques.



    One of the primary growth factors driving the market is the increasing incidence of breast cancer worldwide. According to the World Health Organization (WHO), breast cancer is the most common cancer among women globally, which underscores the urgent need for early detection and effective treatment. Automated Breast Ultrasound Systems provide a non-invasive and highly reliable method for early diagnosis, significantly reducing mortality rates associated with late-stage breast cancer detection.



    Technological advancements in the field of medical imaging are another crucial driver for the ABUS market. Innovations such as 3D imaging and artificial intelligence (AI) integration have enhanced the accuracy and efficiency of ABUS, making it a preferred choice among healthcare providers. These systems offer improved visualization of dense breast tissues, which is often a limitation with traditional mammography. This has led to higher adoption rates of ABUS in both developed and emerging economies.



    Government initiatives and favorable reimbursement policies also play a vital role in market growth. Various governments are implementing screening programs and funding research to improve breast cancer detection rates. For instance, the U.S. Preventive Services Task Force (USPSTF) recommends biennial screening mammography, and several insurance companies cover the cost of supplementary screening modalities like ABUS, particularly for women with dense breast tissue. These initiatives help in making advanced diagnostic tools accessible to a larger population.



    Geographically, North America holds the largest share of the ABUS market, followed by Europe and the Asia Pacific. The high prevalence of breast cancer and a well-established healthcare infrastructure are key factors contributing to the dominant market position of North America. However, the Asia Pacific region is anticipated to witness the fastest growth during the forecast period, driven by increasing healthcare expenditure, rising awareness, and improving healthcare infrastructure.



    Product Type Analysis



    The product type segment of the ABUS market is divided into Automated Breast Ultrasound Systems and Automated Breast Volume Scanners. Automated Breast Ultrasound Systems are widely adopted for routine breast cancer screening, especially in women with dense breast tissue where mammograms are less effective. These systems provide a comprehensive 3D image of the entire breast, improving the detection rates of small lesions and invasive cancers that might be missed by traditional imaging methods. The growing preference for non-invasive, quick, and accurate diagnostic tools is boosting the demand for Automated Breast Ultrasound Systems.



    Automated Breast Volume Scanners, on the other hand, offer a more detailed volumetric analysis of breast tissue. These scanners are particularly useful in pre-operative planning and assessing the extent of disease in patients diagnosed with breast cancer. The market for Automated Breast Volume Scanners is expected to grow steadily as they provide valuable information that can guide surgical and therapeutic interventions. The integration of advanced imaging software and AI algorithms further enhances the diagnostic capabilities of these scanners, making them indispensable in modern oncology practices.



    In terms of market share, Automated Breast Ultrasound Systems currently dominate the market due to their widespread application in routine screening programs. The ease of use, shorter examination time, and ability to detect minute abnormalities make them a preferred choice among radiologists and healthcare facilities. However, the Automated Breast Volume Scanners segment is expected to see significant growth due to the increasing demand for precise pre-operative evaluation tools.



    Innovation in product design and functionality is also propelling the market forward. Manufacturers are focusing on developing compact, user-friendly, and cost-effective ABUS devices to cater to the needs of small and medium-sized healthcare centers. The introduction

  12. c

    Breast Cancer Dataset

    • cubig.ai
    Updated May 2, 2025
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    CUBIG (2025). Breast Cancer Dataset [Dataset]. https://cubig.ai/store/products/178/breast-cancer-dataset
    Explore at:
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    1) Data Introduction • The Breast Cancer Wisconsin (Diagnostic) data focuses on distinguishing between malignant (cancerous) and benign (non-cancerous) breast tumors. This dataset is crucial for developing machine learning models to aid in the early detection and classification of breast cancer, thereby potentially saving lives through timely intervention.

    2) Data Utilization (1) Breast cancer data has characteristics that: • The dataset contains various features extracted from digitized images of fine needle aspirate (FNA) of breast masses, allowing for detailed analysis and classification of tumors. (2) Breast cancer data can be used to: • Healthcare and Medical Research: Useful for developing diagnostic tools and models to accurately classify breast tumors, aiding healthcare providers in making informed decisions. • Machine Learning and AI Development: Assists in creating and fine-tuning machine learning algorithms to improve predictive accuracy in medical diagnostics.

  13. r

    CSAW-CC (mammography) – a dataset for AI research to improve screening,...

    • researchdata.se
    Updated Jan 7, 2025
    + more versions
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    Fredrik Strand (2025). CSAW-CC (mammography) – a dataset for AI research to improve screening, diagnostics and prognostics of breast cancer [Dataset]. http://doi.org/10.5878/45vm-t798
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    (9211529), (29050)Available download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    Karolinska Institutet
    Authors
    Fredrik Strand
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2008 - 2015
    Area covered
    Stockholm County
    Description

    The dataset contains x-ray images, mammography, from breast cancer screening at the Karolinska University Hospital, Stockholm, Sweden, collected by principal investigator Fredrik Strand at Karolinska Institutet. The purpose for compiling the dataset was to perform AI research to improve screening, diagnostics and prognostics of breast cancer.

    The dataset is based on a selection of cases with and without a breast cancer diagnosis, taken from a more comprehensive source dataset.

    1,103 cases of first-time breast cancer for women in the screening age range (40-74 years) during the included time period (November 2008 to December 2015) were included. Of these, a random selection of 873 cases have been included in the published dataset.

    A random selection of 10,000 healthy controls during the same time period were included. Of these, a random selection of 7,850 cases have been included in the published dataset.

    For each individual all screening mammograms, also repeated over time, were included; as well as the date of screening and the age. In addition, there are pixel-level annotations of the tumors created by a breast radiologist (small lesions such as micro-calcifications have been annotated as an area). Annotations were also drawn in mammograms prior to diagnosis; if these contain a single pixel it means no cancer was seen but the estimated location of the center of the future cancer was shown by a single pixel annotation.

    In addition to images, the dataset also contains cancer data created at the Karolinska University Hospital and extracted through the Regional Cancer Center Stockholm-Gotland. This data contains information about the time of diagnosis and cancer characteristics including tumor size, histology and lymph node metastasis.

    The precision of non-image data was decreased, through categorisation and jittering, to ensure that no single individual can be identified.

    The following types of files are available: - CSV: The following data is included (if applicable): cancer/no cancer (meaning breast cancer during 2008 to 2015), age group at screening, days from image to diagnosis (if any), cancer histology, cancer size group, ipsilateral axillary lymph node metastasis. There is one csv file for the entire dataset, with one row per image. Any information about cancer diagnosis is repeated for all rows for an individual who was diagnosed (i.e., it is also included in rows before diagnosis). For each exam date there is the assessment by radiologist 1, radiologist 2 and the consensus decision. - DICOM: Mammograms. For each screening, four images for the standard views were acuqired: left and right, mediolateral oblique and craniocaudal. There should be four files per examination date. - PNG: Cancer annotations. For each DICOM image containing a visible tumor.

    Access: The dataset is available upon request due to the size of the material. The image files in DICOM and PNG format comprises approximately 2.5 TB. Access to the CSV file including parametric data is possible via download as associated documentation.

  14. Breast Cancer MSI Multimodal Image Dataset

    • kaggle.com
    Updated May 31, 2025
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    Developer (2025). Breast Cancer MSI Multimodal Image Dataset [Dataset]. https://www.kaggle.com/datasets/zoya77/breast-cancer-msi-multimodal-image-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 31, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Developer
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The multispectral breast cancer image datasets span three complementary imaging modalities: Ultrasound, Histopathological, and Chest X-ray. Each dataset includes balanced classes of benign and malignant cases, and the images are enhanced through spectral conversion (RGB, HSV, Jet) to support robust multispectral analysis for classification and fusion tasks.

    MSI Ultrasound Breast Images for Breast Cancer This dataset contains ultrasound images of breast tissue labeled as either benign or malignant.

    Total Images: 806

    Benign: 406 images

    Malignant: 400 images

    Augmentation: Data augmentation techniques such as rotation and sharpening were applied to enhance the diversity and volume of the dataset, enabling robust training of machine learning models.

    MSI BreastHis – Breast Cancer Histopathological Images This dataset comprises high-resolution microscopic images of breast tumor tissue collected for histopathological analysis. These images provide cellular-level detail and are essential for determining cancer grade and type.

    Total Images Used: 1,246 (Subset of the full BreakHis dataset)

    Benign: 623 images

    Malignant: 623 images

    MSI Chest X-Ray for Breast Cancer This dataset consists of colorized chest X-ray images used for identifying breast cancer-related anomalies. While traditionally not the primary modality for breast cancer detection, chest X-rays can provide useful structural insights when used in conjunction with other imaging types.

    Total Images: 1,000

    Benign: 500 images

    Malignant: 500 images

  15. D

    Digital Breast Imaging Equipment Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Apr 22, 2025
    + more versions
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    Market Research Forecast (2025). Digital Breast Imaging Equipment Report [Dataset]. https://www.marketresearchforecast.com/reports/digital-breast-imaging-equipment-527514
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global digital breast imaging equipment market is experiencing robust growth, driven by technological advancements, increasing prevalence of breast cancer, and rising demand for early and accurate diagnosis. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $4.5 billion by 2033. This growth is fueled by several key factors, including the increasing adoption of digital mammography systems offering superior image quality and reduced radiation exposure compared to traditional film-based methods. Furthermore, the development of advanced imaging techniques like tomosynthesis and digital breast tomosynthesis (DBT), which provide three-dimensional images of the breast tissue, are significantly contributing to improved diagnostic accuracy and reduced false positives. The rising geriatric population, a known risk factor for breast cancer, further fuels market demand. Hospital and clinic segments dominate the application landscape, but the growing adoption of digital breast imaging equipment in smaller clinics and imaging centers will drive market expansion in the coming years. Technological innovation, including artificial intelligence (AI)-powered diagnostic tools that enhance image analysis and improve efficiency, will continue to shape the market's trajectory. Despite the positive outlook, the market faces challenges such as high initial investment costs associated with digital breast imaging equipment and the need for skilled technicians and radiologists for proper operation and interpretation of images. Competition among established players like Siemens, Philips, Hologic, and GE Healthcare, alongside emerging players from Asia, keeps the pricing competitive and drives innovation. However, ongoing technological advancements and a strong focus on improving healthcare infrastructure, particularly in developing economies, are expected to mitigate these challenges, ensuring sustained market expansion in the long term. The regional breakdown indicates strong growth in North America and Europe, but rapidly developing economies in Asia Pacific are emerging as significant growth engines, fueled by increasing healthcare spending and government initiatives promoting breast cancer awareness and early detection.

  16. D

    Early Cancer Detection Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Early Cancer Detection Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/early-cancer-detection-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Early Cancer Detection Market Outlook



    The global early cancer detection market size was estimated to be USD 4.3 billion in 2023 and is projected to reach USD 12.9 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.6% during the forecast period. This rapid growth is driven by advancements in medical technology, increasing awareness about the benefits of early detection, and rising prevalence of cancer worldwide.



    One of the key growth factors for this market is the significant advancements in medical imaging technologies and biomarker research. The continuous innovation in these fields has led to the development of more precise and less invasive diagnostic tests, enhancing the ability to detect cancer at its earliest stages. Moreover, these advancements help reduce the overall costs associated with cancer treatment by enabling timely interventions, which are generally less expensive and have higher success rates compared to treatments for advanced-stage cancers.



    Another critical growth driver is the growing awareness and initiatives by governments and healthcare organizations to promote early cancer screening programs. Many countries are establishing national screening programs, covering various types of cancer such as breast, colorectal, and cervical cancer. These programs are supported by campaigns that educate the public on the importance of early detection, which in turn fuels the demand for diagnostic tests. Additionally, legislative measures and reimbursement policies are increasingly becoming favorable, encouraging more individuals to participate in routine screenings.



    The rise in the elderly population globally also significantly contributes to market growth. As age is a major risk factor for cancer, the increasing geriatric population implies a higher demand for early detection tests. With more people living longer, there is an escalating need to diagnose and treat cancers early to improve survival rates and quality of life. Thus, demographic shifts are expected to sustain the growth momentum in the early cancer detection market over the forecast period.



    From a regional perspective, North America currently dominates the early cancer detection market, driven by high healthcare expenditure, advanced healthcare infrastructure, and a strong focus on research and development. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period due to increasing healthcare investments, rising awareness about early cancer detection, and improving healthcare infrastructure. Europe also holds a significant share, benefiting from comprehensive cancer screening programs and supportive governmental policies.



    Head and Neck Cancer Diagnostics have seen significant advancements in recent years, driven by the need for early detection and improved patient outcomes. These diagnostics often involve a combination of imaging techniques, such as MRI and CT scans, alongside biomarker and genetic tests. The integration of these methods allows for a comprehensive assessment of potential head and neck cancers, facilitating timely intervention. As technology progresses, the accuracy and efficiency of these diagnostic tools continue to improve, offering hope for better survival rates and quality of life for patients. The ongoing research in this area is crucial, as head and neck cancers can be particularly aggressive, making early detection vital.



    Test Type Analysis



    The early cancer detection market is segmented into several test types, including Imaging, Biomarker Tests, Liquid Biopsy, Genetic Tests, and Others. Imaging tests, such as mammograms, CT scans, and MRIs, have long been a staple in cancer detection. These modalities offer non-invasive visualization of internal structures, allowing for the identification of tumors at an early stage. Continued advancements in imaging technology, such as higher resolution and 3D imaging, are enhancing diagnostic accuracy and expanding the applications of these tests in oncology.



    Biomarker tests represent another significant segment within the early cancer detection market. These tests detect specific proteins, genes, or other biomarkers that are indicative of cancer. The rising focus on personalized medicine and targeted therapies is driving the demand for biomarker tests, as they can provide valuable information about an individual's cancer type and potential treatment responses. Technological advancements in assay

  17. b

    breast cancer diagnostic Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 29, 2025
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    Data Insights Market (2025). breast cancer diagnostic Report [Dataset]. https://www.datainsightsmarket.com/reports/breast-cancer-diagnostic-1490631
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    CA
    Variables measured
    Market Size
    Description

    The global breast cancer diagnostic market is experiencing robust growth, driven by increasing breast cancer incidence rates worldwide, advancements in diagnostic technologies, and rising awareness about early detection. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $28 billion by 2033. This growth is fueled by several key factors. Firstly, the adoption of advanced imaging techniques like mammography, ultrasound, MRI, and molecular imaging is improving diagnostic accuracy and enabling earlier detection of cancers, leading to improved patient outcomes. Secondly, technological innovations such as AI-powered image analysis and liquid biopsies are enhancing diagnostic capabilities and streamlining workflows. Furthermore, government initiatives promoting breast cancer screening programs and increasing healthcare spending in developed and developing nations contribute significantly to market expansion. The market is segmented by modality (mammography, ultrasound, MRI, biopsy, others), technology (digital mammography, tomosynthesis, etc.), and end-user (hospitals, diagnostic centers, clinics). Key players like Danaher, Hologic, Merit Medical, BD, Stryker, Galini SRL, and Medtronic are driving innovation and expanding their market share through product development and strategic acquisitions. Despite the positive outlook, the market faces certain challenges. High costs associated with advanced diagnostic technologies, limited access to healthcare in underserved regions, and the need for skilled professionals to operate and interpret complex imaging data create restraints to growth. Nevertheless, ongoing research and development, coupled with the growing focus on personalized medicine and preventive healthcare, are expected to mitigate these challenges and drive further market expansion over the forecast period. The increasing prevalence of breast cancer and the rising demand for accurate and timely diagnosis will continue to be the primary drivers of this significant market. Competition among established players and emerging companies is fierce, spurring innovation and driving down costs, benefiting patients globally.

  18. m

    Europe Breast Cancer Screening Tests Market Size & Share Analysis - Industry...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jan 27, 2025
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    Mordor Intelligence (2025). Europe Breast Cancer Screening Tests Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/europe-breast-cancer-screening-tests-market-industry
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Europe
    Description

    The Europe Breast Cancer Screening Tests Market Report is Segmented by Test Type (Genomic Tests and Imaging Test) and Geography (Germany, France, United Kingdom, Italy, Spain, and Rest of Europe). The Report Offers the Value (in USD) for the Above Segments.

  19. G

    Contrast-Enhanced Mammography Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 22, 2025
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    Growth Market Reports (2025). Contrast-Enhanced Mammography Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/contrast-enhanced-mammography-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Contrast-Enhanced Mammography Market Outlook



    As per our latest research, the global contrast-enhanced mammography market size reached USD 2.41 billion in 2024, driven by increasing adoption of advanced breast cancer diagnostic techniques and growing awareness regarding early cancer detection. The market is expected to grow at a robust CAGR of 8.7% over the forecast period, reaching USD 5.04 billion by 2033. This impressive growth is supported by technological advancements, rising breast cancer incidence, and favorable reimbursement policies in key regions, making contrast-enhanced mammography a pivotal tool in modern breast imaging.




    One of the primary growth factors for the contrast-enhanced mammography market is the escalating prevalence of breast cancer worldwide. According to recent data from the World Health Organization, breast cancer remains the most commonly diagnosed cancer among women globally, with over 2.3 million new cases reported annually. This alarming statistic has spurred healthcare providers and policymakers to prioritize early detection and diagnosis, leading to increased investments in advanced imaging technologies. Contrast-enhanced mammography, which offers improved sensitivity and specificity compared to conventional mammography, is gaining traction as a preferred diagnostic tool in both developed and developing markets. The ability of this technology to differentiate between benign and malignant lesions with greater accuracy is particularly significant in reducing unnecessary biopsies and improving patient outcomes.




    Another significant driver for market growth is the rapid technological innovation in mammography systems and contrast agents. Manufacturers are continually introducing next-generation digital mammography systems with enhanced image quality, lower radiation doses, and user-friendly interfaces. The integration of artificial intelligence (AI) and machine learning algorithms into these systems further augments diagnostic accuracy and workflow efficiency. Additionally, the development of safer and more effective contrast agents has minimized adverse reactions and expanded the eligible patient population for contrast-enhanced procedures. These technological advancements, combined with strategic collaborations between medical device companies and research institutions, are accelerating the adoption of contrast-enhanced mammography across various healthcare settings.




    Favorable reimbursement policies and government initiatives aimed at improving breast cancer screening rates are also contributing to the strong growth trajectory of the contrast-enhanced mammography market. In countries such as the United States, Germany, and Japan, national screening programs and insurance coverage for advanced diagnostic imaging have significantly increased patient access to contrast-enhanced mammography. Furthermore, public awareness campaigns and educational programs have played a crucial role in encouraging women to undergo regular breast cancer screenings, thereby driving demand for advanced imaging modalities. The growing emphasis on personalized medicine and precision diagnostics is expected to further propel market expansion over the forecast period.




    Regionally, North America continues to dominate the global market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The high adoption rate of advanced healthcare technologies, well-established healthcare infrastructure, and strong presence of leading market players contribute to North America's leadership position. However, the Asia Pacific region is anticipated to exhibit the fastest growth rate during the forecast period, fueled by rising healthcare expenditures, increasing awareness about early cancer detection, and rapid urbanization. Emerging economies such as China and India are witnessing substantial investments in healthcare infrastructure, which is expected to create lucrative opportunities for market participants in the coming years.





    Product Type Analysis



    The co

  20. G

    Breast Imaging Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 29, 2025
    + more versions
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    Growth Market Reports (2025). Breast Imaging Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/breast-imaging-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Breast Imaging Market Outlook



    According to the latest research, the global breast imaging market size reached USD 4.3 billion in 2024. The sector is projected to expand at a robust CAGR of 8.2% from 2025 to 2033, culminating in a forecasted market value of USD 8.3 billion by 2033. This growth is primarily driven by the rising prevalence of breast cancer, technological advancements in imaging modalities, and increasing awareness regarding early detection and screening worldwide. As per our latest analysis, the breast imaging market is set for sustained expansion, fueled by both public and private sector investments in healthcare infrastructure and innovation.




    The growth trajectory of the breast imaging market is significantly influenced by the increasing incidence of breast cancer globally. With breast cancer remaining one of the leading causes of cancer-related deaths among women, the demand for early detection and accurate diagnostic tools has surged. Governments and healthcare organizations have intensified their efforts to promote regular screening programs, which, in turn, has led to a higher uptake of advanced breast imaging technologies. Innovations such as 3D mammography, digital breast tomosynthesis, and contrast-enhanced imaging are enhancing the sensitivity and specificity of breast cancer detection, thereby reducing false positives and negatives. This technological evolution, coupled with rising patient awareness and the implementation of national screening guidelines, is a pivotal driver for the market's growth.




    Another crucial growth factor is the increasing investment in healthcare infrastructure, particularly in emerging economies. As countries in Asia Pacific and Latin America focus on expanding their healthcare services, the installation of state-of-the-art imaging equipment in hospitals, diagnostic centers, and ambulatory surgical centers is on the rise. The expansion of private healthcare providers and the establishment of specialized breast clinics are further supporting the adoption of advanced imaging modalities. Additionally, the integration of artificial intelligence and machine learning algorithms into breast imaging systems is streamlining workflow, improving diagnostic accuracy, and enabling personalized patient care. These advancements are attracting both public and private investments, which are vital for market expansion.




    Demographic shifts, such as the aging population and lifestyle changes, also contribute to the rising demand for breast imaging. Older women are at a higher risk of developing breast cancer, necessitating regular screening and monitoring. Furthermore, increased health consciousness and the proliferation of educational campaigns by non-profit organizations and advocacy groups have led to higher participation rates in screening programs. The growing accessibility to healthcare services, particularly in urban and semi-urban regions, is ensuring that more women have access to timely and accurate breast cancer diagnostics. These factors collectively create a favorable environment for the sustained growth of the breast imaging market.



    Microwave Breast Imaging Systems are emerging as a promising technology in the breast imaging landscape. Unlike traditional imaging methods, these systems utilize microwave signals to detect breast abnormalities, offering a non-invasive and radiation-free alternative. The technology is particularly advantageous for women with dense breast tissue, where conventional mammography may fall short. As research and development efforts continue to advance, microwave breast imaging systems are expected to enhance the accuracy of breast cancer detection and reduce the incidence of false positives. This innovation aligns with the broader trend of integrating advanced technologies into healthcare, providing clinicians with more comprehensive diagnostic tools and improving patient outcomes.




    From a regional perspective, North America continues to dominate the breast imaging market, accounting for the largest revenue share in 2024. This leadership is attributed to the region's well-established healthcare infrastructure, high awareness levels, and the presence of major market players. Europe follows closely, supported by comprehensive government initiatives and reimbursement policies. Meanwhile, the Asia Pacific region is emerging as the fastest

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Dola Saha (2025). DATA SHEET.csv [Dataset]. http://doi.org/10.6084/m9.figshare.28203392.v1

DATA SHEET.csv

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
Jan 14, 2025
Dataset provided by
figshare
Authors
Dola Saha
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Breast cancer is one of the most prevalent cancers among women worldwide, and early detection is crucial for reducing mortality rates and improving treatment outcomes. Mammography has been the gold standard for breast cancer screening, offering non-invasive imaging to identify suspicious abnormalities. However, mammography has limitations, such as variability in interpretation, false positives, false negatives, and challenges in distinguishing between benign and malignant lesions.Machine learning has the potential to revolutionize breast cancer detection by enhancing the capabilities of mammography. Its ability to improve accuracy, efficiency, and consistency in diagnosis makes it an indispensable tool for early detection efforts.This study focuses on developing a machine learning-based predictive model for the early detection and classification of breast cancer, utilizing the Wisconsin Breast Cancer Diagnostic dataset. Special emphasis is placed on the potential of ML algorithms, particularly the Support Vector Classifier with a Radial Basis Function (SVC-RBF), to enhance diagnostic accuracy and efficiency.Machine learning has the potential to revolutionize breast cancer detection by enhancing the capabilities of mammography. Its ability to improve accuracy, efficiency, and consistency in diagnosis makes it an indispensable tool for early detection efforts.

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