Machine learning in 3D auto-filling alveolar cleft of CT images to assess the influence of alveolar bone grafting on the development of maxilla

BACKGROUND: Machine learning based auto-segmentation of 3D images has been developed rapidly in recent years. However, the application of this new method in the research of patients with unilateral cleft lip and palate (UCLP) is very limited. In this study, a machine learning algorithm utilizing 3D...

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Detalles Bibliográficos
Autores principales: Zhang, Xin, Qin, Niu, Zhou, Zhibo, 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/PMC9835292/
https://www.ncbi.nlm.nih.gov/pubmed/36631872
http://dx.doi.org/10.1186/s12903-023-02706-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835292/
https://www.ncbi.nlm.nih.gov/pubmed/36631872
http://dx.doi.org/10.1186/s12903-023-02706-8

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