Polygon-mamba: Retinal vessel segmentation using polygon scanning mamba and space-frequency collaborative attention
Retinal vessel segmentation is crucial for diagnosis and assessment of ocular diseases. Notably, segmentation of small retinal vessels has been consistently recognized as a challenging and complex task. To tackle this challenge, we design a hybrid CNN-Mamba fusion network that integrates polygon scanning mamba and space-frequency collaborative attention mechanism for the detection of small vessels. Considering that the traditional mamba architecture with horizontal-vertical scanning may compromise the topological integrity of target structures and result in local discontinuities in small retinal vessels, we present a polygon scanning visual state space model (PS-VSS) to identify small ves...
| Authors | Yuanyuan Peng, Wen Li |
|---|---|
| Primary category | cs.CV |
| Published | 11 May 2026 |
| Last updated at source | 27 May 2026 |
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