Evaluation of a YOLOv5x-based deep learning model for interproximal caries segmentation on bitewing radiographs across primary and permanent teeth
- DOI
- 10.1186/s12903-025-07570-2
- Published
- 2025-12-29
- Container
- BMC Oral Health
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12903-025-07570-2,
title = {Evaluation of a YOLOv5x-based deep learning model for interproximal caries segmentation on bitewing radiographs across primary and permanent teeth},
author = {Hatice Selin Güçlü and Akif Demirel and Kaan Orhan},
year = {2025},
journal = {BMC Oral Health},
doi = {10.1186/s12903-025-07570-2},
url = {https://doi.org/10.1186/s12903-025-07570-2}
}RIS
TY - JOUR TI - Evaluation of a YOLOv5x-based deep learning model for interproximal caries segmentation on bitewing radiographs across primary and permanent teeth AU - Hatice Selin Güçlü AU - Akif Demirel AU - Kaan Orhan PY - 2025 JO - BMC Oral Health DO - 10.1186/s12903-025-07570-2 UR - https://doi.org/10.1186/s12903-025-07570-2 ER -
APA
Güçlü, H. S., Demirel, A., & Orhan, K. (2025). Evaluation of a YOLOv5x-based deep learning model for interproximal caries segmentation on bitewing radiographs across primary and permanent teeth. BMC Oral Health. https://doi.org/10.1186/s12903-025-07570-2
Source records
- crossref · retrieved 2026-09-26T11:01:32.097Z