Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11

Fulya Aydın; Şükran Ayran; Muzaffer Kaan Yüce

doi:10.52037/eads.2026.0007

Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11

Abstract

Abstract Purpose The aim of this study was to evaluate the performance of the YOLOv11 deep learning–based object detection model in detecting dental restorations on digital panoramic radiographs. Materials and Methods A total of 320 panoramic radiographs obtained from adult patients were included in this study. Four types of dental restorations—amalgam, composite, crown, and bridge—were manually annotated and used for model training and evaluation. The dataset was divided into training and testing subsets at a ratio of 75% and 25%, respectively. A validation subset was derived from the training data. Model performance was assessed using precision, recall, F1-score, and mean Average Precision (mAP) metrics. Results The YOLOv11 model achieved an overall precision of 0.663, recall of 0.665, and F1-score of 0.663 across all restoration categories. The mAP@50 value was 0.671, while the mAP@50–95 value was 0.432, indicating variations in detection performance across different Intersection over Union thresholds. Differences in detection performance were observed among the various types of dental restorations. Conclusion The findings indicate that YOLOv11 demonstrates measurable potential as an automated support tool for detecting dental restorations on panoramic radiographs; however, the achieved performance remains lower than that reported in several previous studies. Successful clinical integration of such AI-assisted systems requires further optimization and validation using larger and more heterogeneous datasets to enhance generalizability and clinical applicability.

Keywords

Ethical Statement

The study protocol received approval from the Institutional Review Board of the Gülhane Scientific Research Ethics Committee at the University of Health Sciences (Approval No: 11.03.2025/148).

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Details

Primary Language

English

Subjects

Restorative Dentistry

Journal Section

Research Article

Authors

Fulya Aydın ^*
0000-0001-6791-9933
Türkiye

Şükran Ayran
0009-0003-5988-2685
Türkiye

Muzaffer Kaan Yüce
0009-0007-2094-4358
Türkiye

Publication Date

March 25, 2026

Submission Date

January 9, 2026

Acceptance Date

March 11, 2026

Published in Issue

Year 2026 Volume: 53 Number: 1

DOI

https://doi.org/10.52037/eads.2026.0007

IZ

https://izlik.org/JA49XY23BN

Cite

RIS / Bibtex

APA

Aydın, F., Ayran, Ş., & Yüce, M. K. (2026). Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11. European Annals of Dental Sciences, 53(1), 35-42. https://doi.org/10.52037/eads.2026.0007

AMA

1.Aydın F, Ayran Ş, Yüce MK. Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11. EADS. 2026;53(1):35-42. doi:10.52037/eads.2026.0007

Chicago

Aydın, Fulya, Şükran Ayran, and Muzaffer Kaan Yüce. 2026. “Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11”. European Annals of Dental Sciences 53 (1): 35-42. https://doi.org/10.52037/eads.2026.0007.

EndNote

Aydın F, Ayran Ş, Yüce MK (March 1, 2026) Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11. European Annals of Dental Sciences 53 1 35–42.

IEEE

[1]F. Aydın, Ş. Ayran, and M. K. Yüce, “Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11”, EADS, vol. 53, no. 1, pp. 35–42, Mar. 2026, doi: 10.52037/eads.2026.0007.

ISNAD

Aydın, Fulya - Ayran, Şükran - Yüce, Muzaffer Kaan. “Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11”. European Annals of Dental Sciences 53/1 (March 1, 2026): 35-42. https://doi.org/10.52037/eads.2026.0007.

JAMA

1.Aydın F, Ayran Ş, Yüce MK. Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11. EADS. 2026;53:35–42.

MLA

Aydın, Fulya, et al. “Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11”. European Annals of Dental Sciences, vol. 53, no. 1, Mar. 2026, pp. 35-42, doi:10.52037/eads.2026.0007.

Vancouver

1.Fulya Aydın, Şükran Ayran, Muzaffer Kaan Yüce. Detection of Dental Restorations in Digital Panoramic Radiographs Using YOLOv11. EADS. 2026 Mar. 1;53(1):35-42. doi:10.52037/eads.2026.0007