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Automatic Three-Dimensional Cephalometric Landmarking via Deep Learning

2022-01-30

Abstract excerpt

The increasing use of three-dimensional (3D) imaging by orthodontists and maxillofacial surgeons to assess complex dentofacial deformities and plan orthognathic surgeries implies a critical need for 3D cephalometric analysis. Although promising methods were suggested to localize 3D landmarks automatically, concerns about robustness and generalizability restrain their clinical use. Consequently, highly trained oper...

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Literature Corpus work
c81debb4-2f62-50a8-b449-cc7afec606c2
DOI
10.1101/2022.01.28.22269989
Open publication

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Automatic Three-Dimensional Cephalometric Landmarking via Deep LearningDOI 10.1101/2022.01.28.22269989
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