A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

ABSTRACT:

Background

A key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. The aim was to develop an automatic CNN-aided method of DARC spot detection to enable prediction of glaucoma progression.

Methods

Anonymised DARC images were acquired from healthy control (n=40) and glaucoma (n=20) Phase 2 clinical trial subjects (ISRCTN10751859) from which 5 observers manually counted spots. The CNN-aided algorithm was trained and validated using manual counts from control subjects, and then tested on glaucoma eyes.

Results

The algorithm had 97.0% accuracy, 91.1% sensitivity and 97.1% specificity to spot de

SUBMITTER: Normando EM 

PROVIDER: S-EPMC7115906 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature