Harvard FairVision with 30,000 Samples (Harvard-FairVision30k): This Harvard-FairVision30k dataset includes 30,000 samples from 30,000 patients covering three major eye diseases including age-related macular degeneration, diabetic retinopathy, and glaucoma affecting 380 million patients globally. Our dataset includes 10,000 subjects for age-related macular degeneration, diabetic retinopathy, and glaucoma separately, which is used in our manuscript “FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling". Here is the data download link for Harvard-FairVision30k. This dataset can only be used for non-commercial research purposes. At no time, the dataset shall be used for clinical decisions or patient care. The data use license is CC BY-NC-ND 4.0. If you have any questions about this dataset, please email harvardophai@gmail.com.
Note that, the modifier word “Harvard” in the dataset name “Harvard Eye Fairness" only indicates that our dataset is from the Department of Ophthalmology of Harvard Medical School and does not imply an endorsement, sponsorship, or assumption of responsibility by either Harvard University or Harvard Medical School as a legal identity.
Check more Harvard Ophthalmology AI Datasets.