Automated segmentation of ultra-widefield fluorescein angiography of diabetic retinopathy using deep learning.

Phil-Kyu LeeHo RaJiwon Baek

Published in: The British journal of ophthalmology (2022)

DL models can detect NV and NP as well as disc and outer margins on UWFA with good performance. This automated segmentation of important UWFA features will aid physicians in DR clinics and in overcoming grader subjectivity.

Keyphrases

deep learning
diabetic retinopathy
optical coherence tomography
primary care
convolutional neural network
artificial intelligence
machine learning
computed tomography
high resolution
editorial comment
single cell