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Beyond Volume Overlap: Surface Matching for Topology-Aware Coronary Artery Segmentation

Velasquez, Rafael et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Accurate coronary artery segmentation on coronary computed tomography angiography (CCTA) is essential for diagnosing coronary artery disease. Deep networks are conventionally trained and evaluated with the Dice coefficient, but volume-overlap metrics are poorly suited to thin, tubular anatomy: since
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