基于Faster R-CNN和YOLOv8的根尖周x线片多牙人工智能识别

IF 2.2 3区医学 Q2 Dentistry

Journal of Stomatology Oral and Maxillofacial Surgery Pub Date : 2025-02-19 DOI:10.1016/j.jormas.2025.102293

Jiajia Zheng, Hong Li, Quan Wen, Yuan Fu, Jiaqi Wu, Hu Chen

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引用次数: 0

摘要

目的：本研究的目的是比较使用Faster R-CNN和YOLOv8的尖周x线片上自动多牙（ST）检测系统与8名牙科居民检测的有效性。方法：这是一项对469张根尖周x线片的诊断准确性研究（419张训练数据集对50张测试数据集）。主要预测变量为检测器（dental resident /Faster R-CNN/YOLOv8）。主要结果变量包括模型的诊断性能，使用精度，召回率和交联（IoU）。计算了适当的统计数据。结果：在测试数据集中，Faster R-CNN和YOLOv8的精度分别为0.95和0.99，平均精度分别为0.90和0.97。在这些指标上，两种模型之间存在显著差异，YOLOv8在精度和平均精度方面都优于Faster R-CNN(结论：根据我们的研究结果，YOLOv8和Faster R-CNN在根尖周x线片中ST的自动检测中都非常有效，例如，在资源有限的情况下可以取代人工。

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Artificial intelligent recognition for multiple supernumerary teeth in periapical radiographs based on faster R-CNN and YOLOv8.

Objectives: The aim of this study was to compare the effectiveness of automated supernumerary tooth (ST) detection systems on periapical radiographs using Faster R-CNN and YOLOv8 with detection by 8 dental residents.

Methods: This was a diagnostic accuracy study of 469 periapical radiographs (419 training vs. 50 test datasets). The primary predictor variables were detectors (dental residents/Faster R-CNN/YOLOv8). The main outcome variables included the diagnostic performance of the model's using precision, recall and intersection over union (IoU). Appropriate statistics were calculated.

Results: In the test dataset, the precision of Faster R-CNN and YOLOv8 was 0.95 and 0.99, and their average precision was 0.90 and 0.97, respectively. A significant difference was observed between the two models in these metrics, with YOLOv8 outperforming Faster R-CNN in both precision and average precision (P<0.05). Both AI systems outperformed human subjects.

Conclusions: Based on our findings, both YOLOv8 and Faster R-CNN are highly effective in the automated detection of ST in periapical radiographs and could, for example, assist humans in resource-limited situations.

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来源期刊

Journal of Stomatology Oral and Maxillofacial Surgery Dentistry-Oral Surgery

CiteScore

2.20

自引率

9.10%

发文量

305

期刊介绍： J Stomatol Oral Maxillofac Surg publishes research papers and techniques - (guest) editorials, original articles, reviews, technical notes, case reports, images, letters to the editor, guidelines - dedicated to enhancing surgical expertise in all fields relevant to oral and maxillofacial surgery: from plastic and reconstructive surgery of the face, oral surgery and medicine, … to dentofacial and maxillofacial orthopedics. Original articles include clinical or laboratory investigations and clinical or equipment reports. Reviews include narrative reviews, systematic reviews and meta-analyses. All manuscripts submitted to the journal are subjected to peer review by international experts, and must: Be written in excellent English, clear and easy to understand, precise and concise; Bring new, interesting, valid information - and improve clinical care or guide future research; Be solely the work of the author(s) stated; Not have been previously published elsewhere and not be under consideration by another journal; Be in accordance with the journal''s Guide for Authors'' instructions: manuscripts that fail to comply with these rules may be returned to the authors without being reviewed. Under no circumstances does the journal guarantee publication before the editorial board makes its final decision. The journal is indexed in the main international databases and is accessible worldwide through the ScienceDirect and ClinicalKey Platforms.