Harvard Glaucoma Detection with 500 Samples (Harvard-GD500): This Harvard-GD500 dataset includes 500 samples from 500 patients for glaucoma detection to confirm results in our paper “Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma" published in the Journal of Biomedical and Health Informatics. The corresponding code is available on our GitHub repository EyeLearn. Here is the data download link for Harvard-GD500. 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 Glaucoma Detection" 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.