Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.
Qingyu ChenTiarnan D L KeenanAlexis AllotYifan PengElvira AgrónAmitha DomalpallyCaroline C W KlaverDaniel T LuttikhuizenMarcus H ColyerCatherine A CukrasHenry E WileyM Teresa MagoneChantal Cousineau-KriegerWai T WongYingying ZhuEmily Y ChewZhiyong Lunull nullPublished in: Journal of the American Medical Informatics Association : JAMIA (2021)
This study demonstrates the successful development, robust evaluation, and external validation of a novel deep learning framework that enables accessible, accurate, and automated AMD diagnosis and prognosis.