zacharielegault/Kermany2017-OCT

Large Dataset of Labeled Optical Coherence Tomography (OCT) Images

This dataset was originally released by Kermany et al. (2018) on Mendeley Data under a CC-BY-4.0 license. It contains labeled OCT images and chest X-rays for use in medical image classification research. This is a reupload of the OCT images only.

Note that the images were not edited in any way. As such, some images are encoded as RGB even though they should technically be grayscale:

• ds["test"][603]: DRUSEN-52917-1.jpeg
• ds["test"][716]: DRUSEN-9012418-1.jpeg

Users may want to convert the data before downstream usage:

ds = datasets.load_dataset("zacharielegault/Kermany2017-OCT")
ds["test"] = ds["test"].map(lambda d: {"image": d["image"].convert("L")})

If you use this dataset for research or educational purposes, please provide proper attribution.

@dataset{kermany2018large,
  author={Daniel Kermany and Kang Zhang and Michael Goldbaum},
  title={Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images},
  year={2018},
  publisher={Mendeley Data},
  version={V3},
  doi={10.17632/rscbjbr9sj.3},
  url={https://data.mendeley.com/datasets/rscbjbr9sj/3}
}

@article{kermany2018identifying,
  title={Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning},
  journal={Cell},
  volume={172},
  number={5},
  pages={1122-1131.e9},
  year={2018},
  doi={10.1016/j.cell.2018.02.010},
  author={Daniel S. Kermany and Michael Goldbaum and Wenjia Cai and Carolina C.S. Valentim and Huiying Liang and Sally L. Baxter and Alex McKeown and Ge Yang and Xiaokang Wu and Fangbing Yan and Justin Dong and Made K. Prasadha and Jacqueline Pei and Magdalene Y.L. Ting and Jie Zhu and Christina Li and Sierra Hewett and Jason Dong and Ian Ziyar and Alexander Shi and Runze Zhang and Lianghong Zheng and Rui Hou and William Shi and Xin Fu and Yaou Duan and Viet A.N. Huu and Cindy Wen and Edward D. Zhang and Charlotte L. Zhang and Oulan Li and Xiaobo Wang and Michael A. Singer and Xiaodong Sun and Jie Xu and Ali Tafreshi and M. Anthony Lewis and Huimin Xia and Kang Zhang}
}