Automatic craniomaxillofacial landmarks detection in CT images of individuals with dentomaxillofacial deformities by a two-stage deep learning model

BACKGROUND: Accurate cephalometric analysis plays a vital role in the diagnosis and subsequent surgical planning in orthognathic and orthodontics treatment. However, manual digitization of anatomical landmarks in computed tomography (CT) is subject to limitations such as low accuracy, poor repeatabi...

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Detalles Bibliográficos
Autores principales: Tao, Leran, Li, Meng, Zhang, Xu, Cheng, Mengjia, Yang, Yang, Fu, Yijiao, Zhang, Rongbin, Qian, Dahong, Yu, Hongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657133/
https://www.ncbi.nlm.nih.gov/pubmed/37978486
http://dx.doi.org/10.1186/s12903-023-03446-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657133/
https://www.ncbi.nlm.nih.gov/pubmed/37978486
http://dx.doi.org/10.1186/s12903-023-03446-5

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