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 null

Published 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.

Keyphrases

deep learning
age related macular degeneration
artificial intelligence
convolutional neural network
machine learning
high resolution
high throughput
label free
real time pcr
chronic pain
quantum dots