Automatic craniomaxillofacial landmarks detection in CT images of individuals with dentomaxillofacial deformities by a two-stage deep learning model

Automatic craniomaxillofacial landmarks detection in CT images of individuals with dentomaxillofacial deformities by a two-stage deep learning model

Abstract Background Accurate cephalometric analysis plays a vital role in the diagnosis and subsequent surgical planning in orthognathic and orthodontics treatment. However, manual digitization of anatomical landmarks in computed tomography (CT) is subject to limitations such as low accuracy, poor r...

Full description

Bibliographic Details
Main Authors: Leran Tao, Meng Li, Xu Zhang, Mengjia Cheng, Yang Yang, Yijiao Fu, Rongbin Zhang, Dahong Qian, Hongbo Yu
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Oral Health
Subjects:
Dentomaxillofacial deformity
Cephalometric analysis
Deep learning
Landmarks detection
Computer-assisted surgery design.
Online Access:https://doi.org/10.1186/s12903-023-03446-5

Internet

https://doi.org/10.1186/s12903-023-03446-5

Similar Items