A deep learning approach based on YOLO v11 for automatic detection of jaw cysts
YOLO v11 demonstrated high accuracy in detecting jaw cysts, indicating its potential to support dental diagnostics. Further validation on larger and balanced datasets is recommended to enhance generalizability.
Authors
- Burcu Gürsoytrak (ORCID: https://orcid.org/0000-0002-9893-0649)
- Ayşen Çiçek
- Zeynep Büşra Düzenli (ORCID: https://orcid.org/0000-0001-8202-1152)
- Ömer Uranbey (ORCID: https://orcid.org/0000-0003-0628-2419)
- Ömer Faruk Kaygısız (ORCID: https://orcid.org/0000-0002-9903-0597)
- Mehmet Ali Canbal
Institutions
- Gaziantep Children's Hospital (TR)
- Farabi Hastanesi (TR)
- Gaziantep University (TR)
- Adnan Menderes University (TR)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-10-02
- DOI
- https://doi.org/10.1186/s12903-025-06767-9
- Citations
- 2
- Primary Topic
- Oral and Maxillofacial Pathology
- Type
- article
- Field-Weighted Citation Impact
- 3.58