U-Mamba is a hybrid CNN-SSM architecture that outperforms prior CNN and Transformer networks on biomedical image segmentation tasks by efficiently modeling long-range dependencies.
Advances in neural Information Pro- cessing Systems 30 (2017) 2, 4
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U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
U-Mamba is a hybrid CNN-SSM architecture that outperforms prior CNN and Transformer networks on biomedical image segmentation tasks by efficiently modeling long-range dependencies.