Deep Learning for Diagnosis of Choroideremia and USH2A-Associated Rod–Cone Dystrophy Using Macular Optical Coherence Tomography Volumes

Abstract

Objective - To develop and validate deep learning models to differentiate choroideremia (CHM), USH2A-associated rod-cone dystrophy, and healthy controls using macular optical coherence tomography (OCT) volumes.

Kevin Mairot

Phd candidate in Ophtalmology

During my PhD, I am focusing on spiking neural networks with heterogeneous delays.

Laurent U Perrinet

Researcher in Computational Neuroscience

My research interests include Machine Learning and computational neuroscience applied to Vision.