Landmark annotation and mandibular lateral deviation analysis of posteroanterior cephalograms using a convolutional neural network

BACKGROUND/PURPOSE: Facial asymmetry is relatively common in the general population. Here, we propose a fully automated annotation system that supports analysis of mandibular deviation and detection of facial asymmetry in posteroanterior (PA) cephalograms by means of a deep learning-based convolutio...

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Detalles Bibliográficos
Autores principales: Takeda, Saori, Mine, Yuichi, Yoshimi, Yuki, Ito, Shota, Tanimoto, Kotaro, Murayama, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association for Dental Sciences of the Republic of China 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189930/
https://www.ncbi.nlm.nih.gov/pubmed/34141110
http://dx.doi.org/10.1016/j.jds.2020.10.012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189930/
https://www.ncbi.nlm.nih.gov/pubmed/34141110
http://dx.doi.org/10.1016/j.jds.2020.10.012

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