Etiology of Macular Edema Defined by Deep Learning in Optical Coherence Tomography Scans.

ABSTRACT:

Purpose

To develop an automated method based on deep learning (DL) to classify macular edema (ME) from the evaluation of optical coherence tomography (OCT) scans.

Methods

A total of 4230 images were obtained from data repositories of patients attended in an ophthalmology clinic in Colombia and two free open-access databases. They were annotated with four biomarkers (BMs) as intraretinal fluid, subretinal fluid, hyperreflective foci/tissue, and drusen. Then the scans were labeled as control or ocular disease among diabetic macular edema (DME), neovascular age-related macular degeneration (nAMD), and retinal vein occlusion (RVO) by two expert ophthalmologists. Our method was developed by following four consecutive phases: segmentation of BMs, the combination of BMs, feature ex

SUBMITTER: Padilla-Pantoja FD 

PROVIDER: S-EPMC9526369 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature