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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |