Panoramic Dental Xray Dataset
- kaggle.com
zipUpdated Jan 25, 2021+ more versions
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EmailClick to copy linkLink copiedCiteDave Rattan (2021). Panoramic Dental Xray Dataset [Dataset]. https://www.kaggle.com/daverattan/dental-xrary-tfrecordszip(6202465 bytes)Available download formatsDataset updatedJan 25, 2021AuthorsDave RattanDescriptionContext
This dataset consists of anonymized and deidentified panoramic dental X-rays of 116 patients, taken at Noor Medical Imaging Center, Qom, Iran. The subjects cover a wide range of dental conditions from healthy, to partial and complete edentulous cases. The mandibles of all cases are manually segmented by two dentists. This dataset is used as the basis for the article by Abdi et al [1].
[1] A. H. Abdi, S. Kasaei, and M. Mehdizadeh, “Automatic segmentation of mandible in panoramic x-ray,” J. Med. Imaging, vol. 2, no. 4, p. 44003, 2015.
Content
I have converted the dataset into tf.record file with a starter notebook as a guide.
Acknowledgements
These kinds of datasets are absolute gems, especially in the field of Dentistry. The great work was achieved by Amir Abdi and Shohreh Kasaei. The link to the article is here : https://data.mendeley.com/datasets/hxt48yk462/2
Inspiration
It would be interesting to see how this data can be used to create a classification model of abnormalities in dental x-ray.
Dental X-rays - Train Valid Test datasets
- kaggle.com
zipUpdated Apr 9, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCitegodina (2021). Dental X-rays - Train Valid Test datasets [Dataset]. https://www.kaggle.com/godina/dental-xrays-train-valid-test-datasetszip(325213488 bytes)Available download formatsDataset updatedApr 9, 2021AuthorsgodinaDescriptionDataset
This dataset was created by godina
Released under Data files © Original Authors
Contents
It contains the following files:
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This dataset consists of anonymized and deidentified panoramic dental X-rays of 116 patients, taken at Noor Medical Imaging Center, Qom, Iran. The subjects cover a wide range of dental conditions from healthy, to partial and complete edentulous cases. The mandibles of all cases are manually segmented by two dentists. This dataset is used as the basis for the article by Abdi et al [1].
[1] A. H. Abdi, S. Kasaei, and M. Mehdizadeh, “Automatic segmentation of mandible in panoramic x-ray,” J. Med. Imaging, vol. 2, no. 4, p. 44003, 2015.
Content
I have converted the dataset into tf.record file with a starter notebook as a guide.
Acknowledgements
These kinds of datasets are absolute gems, especially in the field of Dentistry. The great work was achieved by Amir Abdi and Shohreh Kasaei. The link to the article is here : https://data.mendeley.com/datasets/hxt48yk462/2
Inspiration
It would be interesting to see how this data can be used to create a classification model of abnormalities in dental x-ray.