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...

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Váldodahkkit:	Tianrui Cun, Aidi Xu, Hua Jiang, Zhiming Qian
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Springer 2026-06-01
Ráidu:	Discover Artificial Intelligence
Fáttát:	Diabetic retinopathy grading Mamba architecture TriBalance loss Class imbalance learning
Liŋkkat:	https://doi.org/10.1007/s44163-026-01330-z
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