Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods

BACKGROUND: Machine learning (ML) algorithms play a key role in estimating dental age. In this study, three ML models were used for dental age estimation, based on different preprocessing methods. AIM: The seven mandibular teeth on the digital panorama were measured and evaluated according to the Ca...

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Detalles Bibliográficos
Autores principales: Shen, Shihui, Yuan, Xiaoyan, Wang, Jian, Fan, Linfeng, Zhao, Junjun, Tao, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751184/
https://www.ncbi.nlm.nih.gov/pubmed/36530730
http://dx.doi.org/10.3389/fpubh.2022.1068253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751184/
https://www.ncbi.nlm.nih.gov/pubmed/36530730
http://dx.doi.org/10.3389/fpubh.2022.1068253

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