Automated FAZ segmentation and diabetic retinopathy classification using OCTA images

Abstract Background Accurate segmentation of the foveal avascular zone (FAZ) is valuable for retinal imaging, as FAZ alterations are key biomarkers for diabetic retinopathy (DR). This study presents an automated framework exploring the feasibility of FAZ segmentation and DR classification using opti...

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Autors principals:	Jamshid Saeidian, Hamid Riazi-Esfahani, Hossein Azimi, Hossein Farrokhpour, Ali Momeni, Mahdi Jamalitootakani, Ahmad Mirshahi, Hooshang Faghihi, Reza Sadeghi, Elias Khalili pour
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-10-01
Col·lecció:	BMC Ophthalmology
Matèries:	Diabetic retinopathy Foveal avascular zone Image segmentation Deep learning Classification OCTA
Accés en línia:	https://doi.org/10.1186/s12886-025-04473-2
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