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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REFUGE Challenge provides a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.
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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.
129 PAPERS • 7 BENCHMARKS
…The ADAM challenge focuses on the investigation and development of algorithms associated with the diagnosis of Age-related Macular degeneration (AMD) and segmentation of lesions in fundus photos from AMD We invite the medical image analysis community to participate by developing and testing existing and novel automated fundus classification and segmentation methods. Task 2: Detection and segmentation of optic disc. Task 3: Localization of fovea. Task 4: Detection and Segmentation of lesions from fundus images.
10 PAPERS • 2 BENCHMARKS