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.
Medical Image Analysis84, 102680 (2023) 2
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.