Accurate segmentation based on heuristic shape attention for occlusal tooth on CBCT
Abstract
References
Index Terms
- Accurate segmentation based on heuristic shape attention for occlusal tooth on CBCT
Recommendations
A progressive framework for tooth and substructure segmentation from cone-beam CT images
Abstract Background:Accurate segmentation of individual tooth and their substructures including enamel, pulp, and dentin from cone-beam computed tomography (CBCT) images is essential for dental diagnosis and treatment planning in digital dentistry. ...
Highlights- A novel framework for tooth and substructure segmentation from CBCT images.
- Accurate individual tooth segmentation by hybrid feature fusion mechanism to resolve metal artifacts.
- Tooth skeleton to refine substructure segmentation ...
CBCT image segmentation of tooth-root canal based on improved level set algorithm
CIPAE 2020: Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced EducationImage segmentation of the root canal is important basis for the establishment of a three-dimensional model for application value clinical diagnosis and education. A total of 1554 CBCT images of polymorphic roots of 10 in vivo and 8 in vitro teeth were ...
Watershed segmentation using prior shape and appearance knowledge
Watershed transformation is a common technique for image segmentation. However, its use for automatic medical image segmentation has been limited particularly due to oversegmentation and sensitivity to noise. Employing prior shape knowledge has ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- the Natural Science Foundation of Fujian Province
- The Young and Middle-aged Teachers Foundation of Fujian Province
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 11Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)2
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format