An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs.

Zhixi LiStuart KeelChi LiuYifan HeWei MengJane ScheetzPei Ying LeeJonathan ShawDaniel TingTien Yin WongHugh TaylorRobert ChangMingguang He

Published in: Diabetes care (2018)

This artificial intelligence-based DLA can be used with high accuracy in the detection of vision-threatening referable DR in retinal images. This technology offers potential to increase the efficiency and accessibility of DR screening programs.

Keyphrases

diabetic retinopathy
artificial intelligence
optical coherence tomography
deep learning
machine learning
big data
loop mediated isothermal amplification
real time pcr
label free
editorial comment
convolutional neural network