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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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Principais autores: Jamshid Saeidian, Hamid Riazi-Esfahani, Hossein Azimi, Hossein Farrokhpour, Ali Momeni, Mahdi Jamalitootakani, Ahmad Mirshahi, Hooshang Faghihi, Reza Sadeghi, Elias Khalili pour
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-10-01
Serier:BMC Ophthalmology
Fag:
Diabetic retinopathy
Foveal avascular zone
Image segmentation
Deep learning
Classification
OCTA
Online adgang:https://doi.org/10.1186/s12886-025-04473-2
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