Tooth Localization using YOLOv3 for Dental Diagnosis on Panoramic Radiographs-Reference-Cited by-同舟云学术

Tooth Localization using YOLOv3 for Dental Diagnosis on Panoramic Radiographs

Published:2022-05-01 Issue:5 Volume:142 Page:557-562
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Bui Toan Huy¹,Hamamoto Kazuhiko²,Paing May Phu³

Affiliation:

1. Course of Science and Technology, Graduate School of Science and Technology, Tokai University

2. School of Information and Telecommunication Engineering, Tokai University

3. School of Engineering, King Mongkut's Institute of Technology Ladkrabang

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/142/5/142_557/_pdf

Reference21 articles.

1. (1) (2020, Oct 1st, 2020). Oral health. Available: https://www.who.int/health-topics/oral-health/

2. (2) H. Chen, et al.: “A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films”, Scientific Reports, Vol. 9, No. 1, p. 3840 (2019)

3. (3) J. J. Hwang, Y. H. Jung, B. H. Cho, and M. S. Heo : “An overview of deep learning in the field of dentistry”, (in eng), Imaging Sci Dent, Vol. 49, No. 1, pp. 1-7 (2019)

4. (4) T.-H. Yong, S. Lee, W.-J. Yi, and W. s. Kr : Odontogenic cysts and tumors detection in panoramic radiographs using Deep Convolutional Neural Network (DCNN) (2019)

5. (5) C. H. Wu, W. H. Tsai, Y. H. Chen, J. K. Liu, and Y. N. Sun : “Model-Based Orthodontic Assessments for Dental Panoramic Radiographs”, IEEE Journal of Biomedical and Health Informatics, Vol. 22, No. 2, pp. 545-551 (2018)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Tooth Position by YOLOv4 and Various Dental Problems Based on CNN With Bitewing Radiograph;IEEE Access;2024

2. Dental Positioning Medical Assistance System for BW Radiograph Based on YOLOV4;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31