Fast macula detection and application to retinal image quality assessment

Robin Alais, Petr Dokládal, Ali Erginay, Bruno Figliuzzi, Etienne Decencière

Abstract: Highlights•A real-time algorithm for assessing retinal image quality is proposed.•The neural network used is thousands of times smaller than state-of-the-art.•The algorithm is able to accurately locate the fovea at no extra cost.•Performance on a clinical database is similar to human one.•The method can be used to save both patient and physician time.