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.