{"url":"/dataset/refuge2","name":"REFUGE2","full_name":null,"description_markdown":"The goal of REFUGE2 challenge is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a standard dataset of retinal fundus images. \r\nWe invite the medical image analysis community to participate by developing and testing existing and novel automated classification and segmentation methods.\r\n\r\nREFUGE2 challenge consists of THREE Tasks:\r\n    Classification of clinical Glaucoma\r\n    Segmentation of Optic Disc and Cup\r\n    Localization of Fovea (macular center)","description_withheld":null,"homepage":"https://refuge.grand-challenge.org/Home2020/","introduced_date":"2022-02-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/refuge2-challenge-treasure-for-multi-domain","title":"REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening","first_author":"Huihui Fang","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["REFUGE2"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}