AI RESEARCH
MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation
arXiv CS.CV
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ArXi:2505.18823v2 Announce Type: replace Accurate medical image segmentation allows for the precise delineation of anatomical structures and pathological regions, which is essential for treatment planning, surgical navigation, and disease monitoring. Both CNN-based and Transformer-based methods have achieved remarkable success in medical image segmentation tasks. However, CNN-based methods struggle to effectively capture global contextual information due to the inherent limitations of convolution operations.