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MedTrinity-25M
- huggingface.co
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EmailClick to copy linkLink copiedCiteUCSC-VLAA, MedTrinity-25M [Dataset]. https://huggingface.co/datasets/UCSC-VLAA/MedTrinity-25MDataset authored and provided byUCSC-VLAADescriptionTutorial of using Medtrinity-25M
MedTrinity-25M, a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million images across 10 modalities, with multigranular annotations for more than 65 diseases. These enriched annotations encompass both global textual information, such as disease/lesion type, modality, region-specific descriptions, and inter-regional relationships, as well as detailed local annotations for regions of interest (ROIs), including bounding… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/MedTrinity-25M.
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MedTrinity-25M Dataset
- paperswithcode.com
Updated Aug 5, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteYunfei Xie; Ce Zhou; Lang Gao; Juncheng Wu; Xianhang Li; Hong-Yu Zhou; Sheng Liu; Lei Xing; James Zou; Cihang Xie; Yuyin Zhou (2024). MedTrinity-25M Dataset [Dataset]. https://paperswithcode.com/dataset/medtrinity-25mDataset updatedAug 5, 2024AuthorsYunfei Xie; Ce Zhou; Lang Gao; Juncheng Wu; Xianhang Li; Hong-Yu Zhou; Sheng Liu; Lei Xing; James Zou; Cihang Xie; Yuyin ZhouDescriptionClick to add a brief description of the dataset (Markdown and LaTeX enabled).
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MedTrinity-25M-demo-shuffle-45000-indonesian
- huggingface.co
Updated May 29, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHafidh Soekma Ardiansyah (2025). MedTrinity-25M-demo-shuffle-45000-indonesian [Dataset]. https://huggingface.co/datasets/hafidhsoekma/MedTrinity-25M-demo-shuffle-45000-indonesianDataset updatedMay 29, 2025AuthorsHafidh Soekma ArdiansyahDescriptionhafidhsoekma/MedTrinity-25M-demo-shuffle-45000-indonesian dataset hosted on Hugging Face and contributed by the HF Datasets community
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UCSC-VLAA/MedTrinity-25M
Tutorial of using Medtrinity-25M
MedTrinity-25M, a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million images across 10 modalities, with multigranular annotations for more than 65 diseases. These enriched annotations encompass both global textual information, such as disease/lesion type, modality, region-specific descriptions, and inter-regional relationships, as well as detailed local annotations for regions of interest (ROIs), including bounding… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/MedTrinity-25M.