VMseg: Using spatial variance to automatically segment retinal non-perfusion on OCT-angiography.

Hugo Le Boité Aude CouturierRamin TadayoniMathieu LamardGwenolé Quellec

Published in: PloS one (2024)

We developed VMseg, an automatic algorithm for retinal non-perfusion segmentation on 12 x 12 mm OCT-A widefield photomontages. This simple algorithm was fast at inference time, segmented images in full-resolution and for the OCT-A format, was accurate enough for automatic estimation of retinal non-perfusion index in diabetic patients with diabetic retinopathy.

Keyphrases

diabetic retinopathy
optical coherence tomography
deep learning
machine learning
convolutional neural network
contrast enhanced
optic nerve
neural network
type diabetes
magnetic resonance imaging
computed tomography