Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-023-00871-4.pdf
Reference24 articles.
1. Righolt AJ, Jevdjevic M, Marcenes W, Listl S. Global-, Regional-, and Country-Level Economic Impacts of Dental Diseases in 2015. J Dent Res, 97(5):501-507, 2018.
2. Nascimento MM, Bader JD, Qvist V, Litaker MS, Williams OD, Rindal DB, et al. Concordance between preoperative and postoperative assessments of primary caries lesion depth: results from the Dental PBRN. Oper Dent, 35(4):389-396, 2010.
3. Menem R, Barngkgei I, Beiruti N, Al Haffar I, Joury E. The diagnostic accuracy of a laser fluorescence device and digital radiography in detecting approximal caries lesions in posterior permanent teeth: an in vivo study. Lasers Med Sci, 32:621-628, 2017.
4. Cantu AG, Gehrung S, Krois J, Chaurasia A, Rossi JG, Gaudin R, et al. Detecting caries lesions of different radiographic extension on bitewings using deep learning. J Dent, 100:103425, 2020.
5. Mertens S, Krois J, Cantu AG, Arsiwala LT, Schwendicke F. Artificial intelligence for caries detection: Randomized trial. J Dent, 115:103849, 2021.
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1. Diagnostic performance of artificial intelligence-aided caries detection on bitewing radiographs: a systematic review and meta-analysis;Japanese Dental Science Review;2024-12
2. Study on automatic localization algorithm of Baliao points;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25
3. 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;2024-05-14
4. A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023);IEEE Access;2024
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