This data collection published by Harvard Ophthalmology AI Lab is intended for facilitating public AI research in ophthalmology.
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Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)
May 8, 2023
Wang, Mengyu, 2023, "Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)", https://doi.org/10.7910/DVN/ENTBEE, Harvard Dataverse, V1
This Harvard-GD500 dataset includes 500 samples from 500 patients for glaucoma detection for confirming 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. Currently, we host our datasets on our website. If you woul...
glaucoma_label500.npy
May 8, 2023 - Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)
Unknown - 4.0 KB - MD5: f911f7fffa9c41cfb37e575ba20239e3
glaucoma labels
rnflt_map500.npy
May 8, 2023 - Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)
Unknown - 193.1 MB - MD5: a9df533cf9833f2ae7712ee49b7e99d0
retinal nerve fiber layer thickness maps.
vf_md500.npy
May 8, 2023 - Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)
Unknown - 4.0 KB - MD5: 27b6355f24abdd90e9b3a5114526d33d
visual fields
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