Midpalatal Suture CBCT Image Quantitive Characteristics Analysis Based on Machine Learning Algorithm Construction and Optimization

Background: Midpalatal suture maturation and ossification status is the basis for appraising maxillary transverse developmental status. Methods: We established a midpalatal suture cone-beam computed tomography (CBCT) normalized database of the growth population, including 1006 CBCT files from 690 pa...

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Detalles Bibliográficos
Autores principales: Gao, Lu, Chen, Zhiyu, Zang, Lin, Sun, Zhipeng, Wang, Qing, Yu, Guoxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311955/
https://www.ncbi.nlm.nih.gov/pubmed/35877367
http://dx.doi.org/10.3390/bioengineering9070316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311955/
https://www.ncbi.nlm.nih.gov/pubmed/35877367
http://dx.doi.org/10.3390/bioengineering9070316

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