Automated diabetic retinopathy grading and screening using deep learning

Abstract Purpose To develop and benchmark a unified Deep Learning (DL) pipeline for automated detection and five-level grading of Diabetic Retinopathy (DR), and to derive a high-performance binary screening endpoint (DR vs No DR) suitable for scalable use in resource-limited settings. Methods A publ...

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Bibliografski detalji

Glavni autori:	Ahmed M. Nashaat Ali Rady, Mohamed A. Azim, Ahmed AbdelMoety, Mohamed Abdelmoaty Ahmed
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2026-06-01
Serija:	International Journal of Retina and Vitreous
Teme:	Artificial intelligence in ophthalmology Binary classification Deep learning Diabetic retinopathy Medical image analysis Multi-class classification
Online pristup:	https://doi.org/10.1186/s40942-026-00868-5
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