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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
BMC
2026-06-01
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| Rangatū: | International Journal of Retina and Vitreous |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1186/s40942-026-00868-5 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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