Fully Automated Tooth Segmentation and Labeling for Both Full- and Partial-Arch Intraoral Scans Using Deep Learning
This work could aid clinicians in the first step of tooth identification in digital dental workflows, and lays the groundwork for extending the automation of the downstream applications, such as diagnosis and monitoring on partial-arch IOSs.
Authors
- Lingyun Cao (ORCID: https://orcid.org/0000-0001-6409-6708)
- Bas Loomans (ORCID: https://orcid.org/0000-0002-6684-9723)
- Tong Xi (ORCID: https://orcid.org/0000-0002-9142-9253)
- Niels van Nistelrooij
- Maximiliano Sérgio Cenci (ORCID: https://orcid.org/0000-0002-2543-6201)
- Shankeeth Vinayahalingam (ORCID: https://orcid.org/0000-0002-2679-3841)
- Jiaqi Liu (ORCID: https://orcid.org/0000-0003-2958-9309)
Institutions
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Radboud Institute for Molecular Life Sciences (NL)
- Hubei University of Arts and Science (CN)
Publication Details
- Journal
- International Dental Journal
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1016/j.identj.2025.100950
- Citations
- 1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.79
Funders
- Radboud Universiteit
- China Scholarship Council
- Radboud Universitair Medisch Centrum