A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomography

Identification of 3D cephalometric landmarks that serve as proxy to the shape of human skull is the fundamental step in cephalometric analysis. Since manual landmarking from 3D computed tomography (CT) images is a cumbersome task even for the trained experts, automatic 3D landmark detection system i...

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Detalles Bibliográficos
Autores principales: Yun, Hye Sun, Hyun, Chang Min, Baek, Seong Hyeon, Lee, Sang-Hwy, Seo, Jin Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518928/
https://www.ncbi.nlm.nih.gov/pubmed/36170279
http://dx.doi.org/10.1371/journal.pone.0275114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518928/
https://www.ncbi.nlm.nih.gov/pubmed/36170279
http://dx.doi.org/10.1371/journal.pone.0275114

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