Global-local collaborative framework integrating visual Mamba and Kolmogorov-Arnold networks for robust diabetic retinopathy grading

Abstract Automatic grading of diabetic retinal disease requires modeling global retinal structure and fine-grained local lesion properties together. Most approaches are limited by restricted receptivity fields of convolutional networks or large computational load of Vision Transformers. To solve thi...

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Bibliografische Detailangaben

Hauptverfasser:	Tianrui Cun, Aidi Xu, Hua Jiang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2026-06-01
Schriftenreihe:	Discover Computing
Schlagworte:	Diabetic retinopathy grading Visual Mamba Kolmogorov–Arnold network Multiple instance learning Multi-task learning
Online-Zugang:	https://doi.org/10.1007/s10791-026-10131-y
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