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A graph-based spine segmentation method: Combining target detection with unsupervised segmentation
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DOI：10.1016/j.bspc.2025.108137.png)
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Abstract
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• We propose an end-to-end spine image segmentation architecture. • Re-understanding image segmentation from the perspective of graph structure. • The segmentation process is unsupervised. • The number of parameters in the coarse segmentation stage is a few tenths of the same architecture.
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