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Automatic Craniomaxillofacial Landmark Digitization via Segmentation-guided Partially-joint Regression Forest Model and Multi-scale Statistical Features
OBJECTIVE: The goal of this paper is to automatically digitize craniomaxillofacial (CMF) landmarks efficiently and accurately from cone-beam computed tomography (CBCT) images, by addressing the challenge caused by large morphological variations across patients and image artifacts of CBCT images. MET...
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| Udgivet i: | IEEE Trans Biomed Eng |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2015
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4879598/ https://ncbi.nlm.nih.gov/pubmed/26625402 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2015.2503421 |
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