CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12707 > Article
Paper
8 June 2023 Design of orthognathic virtual surgery based on deep learning
Xu Zhang, Xuehua Tang, Zhiyong Zhou, Xiangmin Li, Menghao Liu, Jiawei Chen, Weijie Shi
Author Affiliations +
Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127074H (2023) https://doi.org/10.1117/12.2681326
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China
Abstract
Dentofacial malformation, also known as skeletal malocclusion, is a common clinical disease with a incidence rate of about 5%. Patients are often accompanied by occlusal, masticatory and other functional disorders and facial deformities, which seriously affect physical and mental health, and require orthognathic and orthodontic treatment[1][2].This research developed a regression neural network W-ANN based on artificial neural network. First, three-dimensional cephalometric analysis is used to quantify the bone-face shape as the input feature. Next, ridge regression is used to add regularization coefficients to the input features to minimize the deviation caused by multicollinearity. Finally, 10 landmark based relocation vectors are output for surgical planning. The model validation results show that the coefficient of determination R2-score is 0.54, and the mean square error MSE is 0.144, indicating that the constructed model has good prediction accuracy for the mapping relationship between the input (three-dimensional cephalometric measurement index) and the output (tooth bone segment movement vector).
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Xu Zhang, Xuehua Tang, Zhiyong Zhou, Xiangmin Li, Menghao Liu, Jiawei Chen, and Weijie Shi "Design of orthognathic virtual surgery based on deep learning", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127074H (8 June 2023); https://doi.org/10.1117/12.2681326
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 5 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Surgery
Deep learning
Design and modelling
Artificial neural networks
Neural networks
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top