Development and evaluation of a deep learning model for occlusion classification in intraoral photographs
The application of deep learning models for occlusal classification depicted in digital intraoral photographs, which enables clinicians to extract key information rapidly, holds significant implications for patient management and treatment monitoring in orthodontic practices.
Authors
- Lin Zhang (ORCID: https://orcid.org/0000-0001-9544-0399)
- Yongsong Huang
- Rongxiu Zhang
- Ying Wang (ORCID: https://orcid.org/0009-0000-8619-531X)
- Xu Li (ORCID: https://orcid.org/0000-0001-5027-3419)
- Di Zhang (ORCID: https://orcid.org/0009-0009-0228-7969)
- Dong Wang (ORCID: https://orcid.org/0000-0002-9599-8023)
Institutions
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-09-26
- DOI
- https://doi.org/10.7717/peerj.20140
- Citations
- 3
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.37