Automatic segmentation and landmark detection of 3D CBCT images using semi supervised learning for assisting orthognathic surgery planning

Automatic segmentation and landmark detection of 3D CBCT images using semi supervised learning for assisting orthognathic surgery planning

Abstract Patients with abnormal relative position of the upper and lower jaws (the main part of the facial bones) require orthognathic surgery to improve the occlusal relationship and facial appearance. However, in addition to the retraction and protrusion of the maxillomandibular advancement, these...

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Bibliographic Details
Main Authors: Haomin Tang, Shu Liu, Yongxin Shi, Jin Wei, Juxiang Peng, Hongchao Feng
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Upper and lower jaws
Orthognathic surgery
Semi-supervised learning
Automatic segmentation
Automatic landmark detection
3D CBCT
Online Access:https://doi.org/10.1038/s41598-025-93317-6
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https://doi.org/10.1038/s41598-025-93317-6

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