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The deformable most-likely-point paradigm
In this paper, we present three deformable registration algorithms designed within a paradigm that uses 3D statistical shape models to accomplish two tasks simultaneously: 1) register point features from previously unseen data to a statistically derived shape (e.g., mean shape), and 2) deform the st...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Med Image Anal |
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| Κύριοι συγγραφείς: | , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6681672/ https://ncbi.nlm.nih.gov/pubmed/31078111 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2019.04.013 |
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