RAO (retinal artery occlusion) fundus photography dataset

This dataset is a dataset collected to train a deep learning model for diagnosing retinal artery occlusion (RAO) through fundus photographs. A RAO diagnosis model should be developed to prevent a fatal disease in which blood vessels in the eye are blocked by emboli, a type of stroke. Based on web-based public data and public fundus datasets RFMiD and JSEIC.

本数据集旨在训练深度学习模型，以通过眼底照片诊断视网膜动脉阻塞（RAO）。研发RAO诊断模型，旨在预防一种致命性疾病，即眼内血管因栓子（一种中风类型）阻塞所引发的疾病。该模型基于基于网络的公共数据以及公开的眼底图像数据集RFMiD和JSEIC。