Can super resolution via deep learning improve classification accuracy in dental radiography?
For the first time, the classification performance of dental radiographs with improved resolution by SR has been investigated. Significant performance improvement was observed compared to the case without SR.
Authors
- Berrin Çelik (ORCID: https://orcid.org/0000-0002-3602-2354)
- Mahmut Emin Çelik (ORCID: https://orcid.org/0000-0002-1766-5514)
- Mahsa Mikaeili (ORCID: https://orcid.org/0000-0002-8072-4353)
- Mehmet Zahid Genç (ORCID: https://orcid.org/0009-0007-3696-8880)
Institutions
- Ankara University (TR)
- Gazi Hastanesi (TR)
- Ankara Yıldırım Beyazıt University (TR)
- Gazi University (TR)
- Okan University (TR)
Publication Details
- Journal
- Dentomaxillofacial Radiology
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1093/dmfr/twaf029
- Primary Topic
- Advanced Image Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00