A deep learning-based smartphone app for real-time detection of retinal abnormalities in fundus images

This paper presents the real-time implementation of two deep neural networks, which are trained for detection of eye retina abnormalities, on smartphones as an app. This app provides a low-cost and universally accessible alternative to fundus cameras since smartphones are widely available and they can be fitted with lenses that are commercially available for examination of the retina. The process of training two convolutional neural networks for...