Automatic Masseter Muscle Accurate Segmentation from CBCT Using Deep Learning-Based Model

Segmentation of the masseter muscle (MM) on cone-beam computed tomography (CBCT) is challenging due to the lack of sufficient soft-tissue contrast. Moreover, manual segmentation is laborious and time-consuming. The purpose of this study was to propose a deep learning-based automatic approach to accu...

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Detalles Bibliográficos
Autores principales: Jiang, Yiran, Shang, Fangxin, Peng, Jiale, Liang, Jie, Fan, Yi, Yang, Zhongpeng, Qi, Yuhan, Yang, Yehui, Xu, Tianmin, Jiang, Ruoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820952/
https://www.ncbi.nlm.nih.gov/pubmed/36614860
http://dx.doi.org/10.3390/jcm12010055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820952/
https://www.ncbi.nlm.nih.gov/pubmed/36614860
http://dx.doi.org/10.3390/jcm12010055

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