Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images

Abstract

Our deep learning algorithms with region guidance showed reliable performance for detection of multiple findings in macula-centered retinal fundus images. These interpretable, as well as reliable, classification outputs open the possibility for clinical use as an automated screening system for retinal fundus images.