Identification of Gingival Inflammation Surface Image Features Using Intraoral Scanning and Deep Learning
This method can reduce subjective judgment in the clinical assessment of gingival inflammation, improve the consistency and reliability of identification, and play an important auxiliary role in clinical diagnosis and treatment planning.
Authors
- Shengyuan Huang
- Min Xu (ORCID: https://orcid.org/0000-0001-6238-6058)
- Yuting Guo (ORCID: https://orcid.org/0000-0002-0958-3383)
- Wanfu Xu (ORCID: https://orcid.org/0009-0009-4747-459X)
- Wei Li (ORCID: https://orcid.org/0000-0002-3702-2399)
- Linlin Li (ORCID: https://orcid.org/0009-0004-4985-2623)
- Shuai Li (ORCID: https://orcid.org/0000-0003-4182-1588)
- Lu Chang (ORCID: https://orcid.org/0009-0004-9911-5234)
- Jiang Lin (ORCID: https://orcid.org/0000-0002-6170-7566)
- Dong Qin Dai
Institutions
- Beijing Tongren Hospital (CN)
- Capital Medical University (CN)
- Beihang University (CN)
Publication Details
- Journal
- International Dental Journal
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1016/j.identj.2025.01.002
- Citations
- 7
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 10.26
Funders
- Capital Health Research and Development of Special Fund