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...
Saved in:
| 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: | |
| Online Access: | https://doi.org/10.1038/s41598-025-93317-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study
by: Yan Jiang, et al.
Published: (2025-04-01) -
Autonomous surgical planning of mandibular angle reduction based on anatomical landmarks and osteotomy plane detection
by: Zhenggang Cao, et al.
Published: (2025-02-01) -
Method of evaluation of the extent of skeletal forms of malocclusion
by: I. N. Zhmyrko, et al.
Published: (2020-08-01) -
DualBranch-AMR: A Semi-Supervised AMR Method Based on Dual-Student Consistency Regularization with Dynamic Stability Evaluation
by: Jiankun Ma, et al.
Published: (2025-07-01) -
Design and Simulation of a Semi–Automatic Paver Block Making Machine.
by: Wamani, Samuel
Published: (2024)