ArticleJournal of digital imaging2023
Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7.
Article in Journal of digital imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating YOLO for dental caries diagnosis: a systematic review and meta-analysis.Evidence-based dentistry · 2025Pooled it
- Enhancing Dental Caries Classification with Adversarial Training on Bitewing Radiographs.Journal of imaging informatics in medicine · 2026Article
- Deep learning versus general dentists: a clinical evaluation of caries diagnostic accuracy on bitewing radiographs.BMC oral health · 2026Article
- Deep‑learning‑based detection of open‑apex teeth on panoramic radiographs using YOLO models.Oral radiology · 2026Article
- Evaluation of a YOLOv5x-based deep learning model for interproximal caries segmentation on bitewing radiographs across primary and permanent teeth.BMC oral health · 2025Article
- Deep-Optimal Leucorrhea Detection Through Fluorescent Benchmark Data Analysis.Journal of imaging informatics in medicine · 2025Article
- Article
- Tooth-to-white spot lesion YOLO: a novel model for white spot lesion detection.BMC oral health · 2025Article
- Automated Detection, Localization, and Severity Assessment of Proximal Dental Caries from Bitewing Radiographs Using Deep Learning.Diagnostics (Basel, Switzerland) · 2025Article
- Detection of dental caries under fixed dental prostheses by analyzing digital panoramic radiographs with artificial intelligence algorithms based on deep learning methods.BMC oral health · 2025Article
- Automated Classification of Dental Caries in Bitewing Radiographs Using Machine Learning and the ICCMS Framework.International journal of dentistry · 2025Article
- Diagnostic performance of artificial intelligence-aided caries detection on bitewing radiographs: a systematic review and meta-analysis.The Japanese dental science review · 2024Review
- AI-Assisted Detection of Interproximal, Occlusal, and Secondary Caries on Bite-Wing Radiographs: A Single-Shot Deep Learning Approach.Journal of imaging informatics in medicine · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study aimed to evaluate the impact of image size, area of detection (IoU) thresholds and confidence thresholds on the performance of the YOLO models in the detection of dental caries in bitewing radiographs. A total of 2575 bitewing radiographs were annotated with seven classes according to the ICCMS
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.