Automated detection of severe diabetic retinopathy using deep learning method.

Xiao ZhangFan LiDonghong LiQijie WeiXiaoxu HanBilei ZhangHuan ChenYongpeng ZhangBin MoBojie HuDayong DingXirong LiWeihong YuYou-Xin Chen

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

We have studied the intelligent diagnosis of severe DR based on color fundus photography. This artificial intelligence-based technology offers a possibility to increase the accessibility and efficiency of severe DR screening.

Keyphrases

artificial intelligence
deep learning
diabetic retinopathy
machine learning
early onset
big data
optical coherence tomography
convolutional neural network
drug induced
high throughput
quantum dots
loop mediated isothermal amplification
real time pcr
single cell