7월 15, 2024 | ARVO Annual Meeting Abstract
ARVO Annual Meeting Abstract, June 2024 Abstract Purpose : This Reti-CVD successfully predicted CVD events in individuals with no history of CVD. The present study aims to evaluate the predictive ability of retinal images and deep learning for all-cause mortality in...7월 15, 2024 | ARVO Annual Meeting Abstract
ARVO Annual Meeting Abstract, June 2024 Abstract Purpose : The advent of deep learning (DL) algorithms has now made it possible to predict the risk of cardiovascular disease (CVD) using retinal images. We had previously developed a retina-based DL model,...10월 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...10월 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...