Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning.
Journal:
Acta ophthalmologica
Published Date:
Sep 1, 2020
Abstract
PURPOSE: Recent advances in deep learning have seen an increase in its application to automated image analysis in ophthalmology for conditions with a high prevalence. We wanted to identify whether deep learning could be used for the automated classification of optical coherence tomography (OCT) images from patients with Stargardt disease (STGD) using a smaller dataset than traditionally used.