RFMiD: Retinal Image Analysis for multi-Disease Detection challenge

Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh et al. (17 additional authors not shown)

Abstract: Highlights•Outlines the setup of challenge on “Retinal Image Analysis for multi-Disease Detection” held at ISBI-2021.•Describes the creation of RFMiD dataset, evaluation criteria and results of top-performing participating solutions.•Presents various deep learning-based top-performing participating approaches.•Discusses the influence of rare pathologies on multi-disease classification performance from analysis of the methods submitted to this challenge.