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Noise-resistant Digital Euclidean Connected Skeleton for graph-based shape matching |
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| Affiliation: | 1. Department of Radiation Oncology and Molecular Radiation Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland;2. Department of Radiology, Division of Nuclear Medicine, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, Baltimore, Maryland;3. Department of Radiation Oncology, Freiberg University, DKFZ–German Cancer Consortium Partner Site Freiburg, Freiburg, Germany |
| Abstract: | |
| Keywords: | Skeletonization Squared Euclidean distance map Maximal ball Medial axis Ridge point detection Digital shape representation Pruning Linear complexity Shape reconstruction |
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