Development of a deep-learning system for detection of lattice degeneration, retinal breaks, and retinal detachment in tessellated eyes using ultra-wide-field fundus images: a pilot study.

Chenxi ZhangFeng HeBing LiHao WangXixi HeXirong LiWeihong YuYou-Xin Chen

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2021)

A deep-learning system is feasible to detect lattice degeneration, retinal breaks, and retinal detachment in tessellated eyes using ultra-wide-field images. And this system may be considered for screening and telemedicine.

Keyphrases

optical coherence tomography
deep learning
diabetic retinopathy
convolutional neural network
artificial intelligence
high resolution
optic nerve
machine learning
loop mediated isothermal amplification
quantum dots