CBCT radiomics features combine machine learning to diagnose cystic lesions in the jaw
The VotingClassifier model demonstrated the ability of the CBCT radiomics to distinguish the multiple types of diseases (OC, OKC, and AB) in the jaw and may have the potential to diagnose accurately under non-invasive conditions.
Authors
- Xiaoyan Sha
- Jigang Yang (ORCID: https://orcid.org/0000-0002-0538-7676)
- Xiaohong Yuan
- Jiayu Sun (ORCID: https://orcid.org/0000-0002-9552-6720)
- Hui Zhang (ORCID: https://orcid.org/0000-0001-6171-4785)
- Chao Wang (ORCID: https://orcid.org/0000-0003-2737-4048)
- Senrong Qi
Institutions
- Capital Medical University (CN)
- General Electric (Spain) (ES)
- Beijing Friendship Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Dentomaxillofacial Radiology
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1093/dmfr/twaf024
- Citations
- 4
- Primary Topic
- Oral and Maxillofacial Pathology
- Type
- article
- Field-Weighted Citation Impact
- 7.16