Detection of external root resorption in periapical radiographs using YOLO-based deep learning model
This study presents an innovative approach to detecting external root resorption using artificial intelligence. In addition, the reliability of the study was increased by using the radioconjugate phantom model.
Authors
- Kaan Orhan (ORCID: https://orcid.org/0000-0001-6768-0176)
- Mehmet Eray Kolsuz (ORCID: https://orcid.org/0000-0001-8872-1897)
- Arda Büyüksungur (ORCID: https://orcid.org/0000-0002-1978-2888)
- İbrahim Şevki Bayrakdar (ORCID: https://orcid.org/0000-0001-5036-9867)
- Seyide Tuğçe GÖKDENİZ (ORCID: https://orcid.org/0000-0001-9756-8265)
Institutions
- Ankara University (TR)
- Eskişehir Osmangazi University (TR)
Publication Details
- Journal
- Dentomaxillofacial Radiology
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1093/dmfr/twaf072
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ankara Universitesi