Abstract: Highlights•A novel cascaded spatial shift block with a parameter-free spatial shift operation to alleviate the model overfitting on the small-size medical image dataset and extract effective features.•A hierarchical feature refinement network to aggregate and enhance multi-scale features for a high-quality feature map.•A new self-attention-based fusion strategy to aggregate multi-scale features for better multi-organ segmentation performance.
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