Automated periodontal assessment in orthodontic patients: a dual CNN framework
The integration of CNN-based diagnostic models into clinical workflows has the potential to facilitate early periodontal diagnosis and improve accessibility to periodontal assessments in orthodontic patients.
Authors
- Ebru Yurdakurban (ORCID: https://orcid.org/0000-0001-9477-6894)
- Kübra Gülnur Topsakal (ORCID: https://orcid.org/0000-0002-2717-3492)
- Osman Özkaraca (ORCID: https://orcid.org/0000-0002-0964-8757)
- Ali Batuhan Bayırlı (ORCID: https://orcid.org/0000-0003-1028-9461)
- Onur Karasoy (ORCID: https://orcid.org/0000-0001-6916-6920)
- Mehmetcan Uytun (ORCID: https://orcid.org/0000-0003-2986-6740)
- Öznur Suçeken (ORCID: https://orcid.org/0000-0002-6184-2442)
Institutions
- Gülhane Askerî Tıp Akademisi (TR)
- Sağlık Bilimleri Üniversitesi (TR)
- Muğla University (TR)
- University of Health Sciences Antigua (AG)
Publication Details
- Journal
- Clinical Oral Investigations
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1007/s00784-025-06410-5
- Citations
- 2
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 2.93