Deep learning for retinal non-perfusion and foveal avascular zone analysis in wide-field OCTA in diabetic retinopathy

Abstract We developed an automated framework for segmenting low-quality and non-perfusion areas in widefield OCTA images to obtain two key metrics useful for diabetic retinopathy (DR) monitoring: the retinal non-perfusion index (NPI) and foveal avascular zone (FAZ) area. Using 170 images from 88 pat...

Descripció completa

Dades bibliogràfiques

Autors principals:	Hugo Le Boité, Sophie Bonnin, Mathias Gallardo, Mathieu Lamard, Aude Couturier, Gwenolé Quellec
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-08-01
Col·lecció:	Scientific Reports
Matèries:	OCT-angiography Retinal non-perfusion Artificial intelligence Image segmentation Diabetic retinopathy
Accés en línia:	https://doi.org/10.1038/s41598-025-15712-3
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!