SegMamba is a novel architecture combining the U-shape structure with Mamba to effectively model whole-volume global features at various scales for 3D medical image segmentation. It demonstrates remarkable capabilities in capturing long-range dependencies within volumetric data while maintaining outstanding inference efficiency.
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