Abstract: Highlights•A novel U-shaped encoder–decoder network architecture CSWin-UNet is designed for medical image segmentation.•A Transformer-based mechanism was incorporated to implement horizontal and vertical stripes self-attention learning.•A content-aware reassembly layer is applied for feature map upsampling.•Extensive experiments are conducted to indicate the effectiveness of CSWin-UNet.
External IDs:dblp:journals/inffus/LiuGYWY25
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