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Skeleton2Mask: Skeleton-supervised airway segmentation
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DOI：10.1016/j.media.2025.103693.png)
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Abstract
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• We propose SKA, a skeleton annotation strategy that preserves topology and saves 80% time. • Skeleton2Mask, a sparse supervision method, leverages SKA for reliable dense airway prediction. • Skeleton2Mask achieves near full-supervised accuracy using < 3% voxel annotations.
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