Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Cephalometric analysis is critically important and common procedure prior to orthodontic treatment and orthognathic surgery. Recently, deep learning approaches have been proposed for automatic 3D cephalometric analysis based on landmarking from CBCT scans. However, these approaches have relied on uniform datasets from a single center or imaging dev...
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Full title
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset
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TN_cdi_plos_journals_3072226119
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3072226119
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0305947
