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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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2026-06-01
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| Серія: | International Journal of Retina and Vitreous |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s40942-026-00868-5 |
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