Quantitative evaluation of OCT angiography images in healthy and glaucomatous subjects through a novel approach: exploring inter-image variability.

Paola CassottanaCostanza IesterLaura BonzanoCarlo Enrico Traverso Michele Iester

Published in: Eye (London, England) (2024)

Utilizing Swept-Source OCT-A images our study has identified an easy and reproducible method that appears to be fast and can assist physicians in assessing macular and ONH perfusion with less inter-image variability, particularly in the 70 μm superficial area of the optic disc. The high reliability obtained suggested that this method could be useful as early clinical biomarker.

Keyphrases

optical coherence tomography
optic nerve
diabetic retinopathy
deep learning
primary care
convolutional neural network
machine learning
contrast enhanced
age related macular degeneration