ARVO Annual Meeting Abstract

Deep learning system differentiates ethnicities from fundus photographs of a multi-ethnic Asian population

Oct 24, 2022 | ARVO Annual Meeting Abstract

ARVO Annual Meeting Abstract, June 2020 Purpose There is increasing research using deep learning (DL) algorithms for detection of major retinal diseases such as diabetic retinopathy from color fundus photographs (CFP). Because eye diseases vary substantially by...

Deep Learning Is Effective for Classifying Non-referable versus Referable Eye Condition using Fundus Photographs

Oct 23, 2022 | ARVO Annual Meeting Abstract

ARVO Annual Meeting Abstract, July 2018 Purpose Fundus photographs are the most common imaging modality for screening eye disease. This study aimed to determine whether deep learning could be utilized to distinguish referable eye disease (RED) from normal fundus...