Retinal OCTA SEgmentation dataset (ROSE) consists of 229 OCTA images with vessel annotations at either centerline-level or pixel level.
22 PAPERS • 4 BENCHMARKS
Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public datasets, comprised of full-fundus glaucoma images, associated image metadata like, optic disc segmentation , optic cup segmentation, blood vessel segmentation, and any provided per-instance text metadata like sex and age.
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The Digital Retinal Images for Vessel Extraction (DRIVE) dataset is a dataset for retinal vessel segmentation. Inside training set, for each image, one manual segmentation by an ophthalmological expert has been applied. Inside testing set, for each image, two manual segmentations have been applied by two different observers, where the first observer segmentation is accepted as the ground-truth for performance evaluation
276 PAPERS • 2 BENCHMARKS
The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) color fundus images.
130 PAPERS • 7 BENCHMARKS
CHASE_DB1 is a dataset for retinal vessel segmentation which contains 28 color retina images with the size of 999×960 pixels which are collected from both left and right eyes of 14 school children.
48 PAPERS • 2 BENCHMARKS
The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets.
43 PAPERS • 2 BENCHMARKS