Research progresses of deep learning in oral cone beam CT
10.13929/j.issn.1672-8475.2025.01.013
- VernacularTitle:深度学习用于口腔锥形束CT研究进展
- Author:
Yingqi SHI
1
;
Ping CHEN
;
Mei REN
;
Weiqi LI
;
Yue GE
;
Hongtao WEI
Author Information
1. 吉林大学中日联谊医院口腔科,吉林 长春 130033
- Publication Type:Journal Article
- Keywords:
mouth diseases;
tomography,X-ray computed;
deep learning
- From:
Chinese Journal of Interventional Imaging and Therapy
2025;22(1):58-62
- CountryChina
- Language:Chinese
-
Abstract:
Deep learning(DL)technology has strong ability for acquiring and learning information,which has been widely used in the field of stomatology imaging,such as segmentation of oral and surrounding structures,diagnosis of tooth and dental pulp diseases,perioperative evaluation of implant surgery,localization of craniomaxillofacial markers,evaluation of temporomandibular joint diseases and maxillary sinus diseases,etc.,contributing to accurate and efficient individualized diagnosis and treatment of oral diseases.The research progresses of DL in oral cone beam CT were reviewed in this article.
