Efficient hybrid state space architecture with linear attention enhances diabetic retinopathy severity assessment
Abstract Diabetic retinopathy (DR) grading from color fundus photographs remains challenging due to severe class imbalance in datasets and subtle inter-class differences within images. We propose DRMamba, a hybrid framework that couples four-directional Visual Selective Scan branches (VSS) with an E...
Kaydedildi:
| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2026-06-01
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| Seri Bilgileri: | Discover Artificial Intelligence |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s44163-026-01330-z |
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