Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs

BACKGROUND: It is difficult for orthodontists to accurately predict the growth trend of the mandible in children with anterior crossbite. This study aims to develop a deep learning model to automatically predict the mandibular growth result into normal or overdeveloped using cephalometric radiograph...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jia-Nan, Lu, Hai-Ping, Hou, Jia, Wang, Qiong, Yu, Feng-Yang, Zhong, Chong, Huang, Cheng-Yi, Chen, Si
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843828/
https://www.ncbi.nlm.nih.gov/pubmed/36650491
http://dx.doi.org/10.1186/s12903-023-02734-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843828/
https://www.ncbi.nlm.nih.gov/pubmed/36650491
http://dx.doi.org/10.1186/s12903-023-02734-4

Ejemplares similares