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A lightweight network for segmenting tree-like structures in medical images
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DOI：10.1016/j.compmedimag.2026.102796.png)
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Abstract
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• Coordinate attention and Mamba improve medical image tree-like segmentation. • Mamba aggregation module captures global context and long-range dependencies. • Skeleton-based post-processing removes artefacts outside the main segmented tree.
Keywords:
Medical image segmentation
Tree-like structures
Mamba
Coordinate attention
Long-range dependencies
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