Automated Identification and Segmentation of Ellipsoid Zone At-Risk Using Deep Learning on SD-OCT for Predicting Progression in Dry AMD

Abstract

This report describes a novel high performance DL-based model for the detection and measurement of <i>EZ At-Risk</i>. This biomarker showed promising results in predicting progression in nonexudative AMD patients.