In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, ...

Achieving high-precision pixel-level segmentation in medical imaging necessitates both the preservation of fine-grained local details and the modeling of long-range contextual dependencies; ...