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

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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Bibliographic Details
Main Authors: Yiran Jiang, Fangxin Shang, Jiale Peng, Jie Liang, Yi Fan, Zhongpeng Yang, Yuhan Qi, Yehui Yang, Tianmin Xu, Ruoping Jiang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Clinical Medicine
Subjects:
deep learning
machine learning
CBCT
masseter muscle
orthodontic(s)
canio-maxillofacial surgery
Online Access:https://www.mdpi.com/2077-0383/12/1/55

Internet

https://www.mdpi.com/2077-0383/12/1/55

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