VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation

arXiv:2403.09157v1 Announce Type: cross
Abstract: In the field of medical image segmentation, models based on both CNN and Transformer have been thoroughly investigated. However, CNNs have limited modeling capabilities for long-range dependencies, making it challenging to exploit the semantic information within images fully. On the other hand, the quadratic computational complexity poses a challenge for Transformers. Recently, State Space Models (SSMs), such as Mamba, have been recognized as a promising method. They not only demonstrate superior performance in modeling long-range …

arxiv cs.cv eess.iv image mamba medical segmentation type unet vision