Automatic Detection of Peripheral Retinal Lesions From Ultrawide-Field Fundus Images Using Deep Learning.

Yi-Wen TangJie JiJian-Wei LinJi WangYun WangZibo LiuZhanchi HuJian-Feng YangTsz Kin NgMingzhi ZhangChi Pui PangLing-Ping Cen

Published in: Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) (2023)

This new DL model of a multilabel classifier is capable of automatic, accurate, and early detection of clinically significant peripheral retinal lesions with various sample sizes. It can be applied in peripheral retinal screening in clinics.

Keyphrases

deep learning
diabetic retinopathy
optical coherence tomography
convolutional neural network
artificial intelligence
chemotherapy induced
optic nerve
machine learning
primary care
high resolution
real time pcr
label free