Automatic Tooth Recognition Method Including Detection of Root Canal Treatment on Panoramic X-Ray Images
Author:
Affiliation:
1. Graduate School of Engineering, University of Hyogo
2. Graduate School of Information Science, University of Hyogo
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jsoft/36/2/36_610/_pdf
Reference12 articles.
1. [1] 荒木正夫, 新井嘉則, 本田和也: “歯科臨床におけるデンタル・パノラマ像の診断情報の戦略,” 歯科放射線, Vol.59, No.1, pp. 19-28, 2019．
2. [2] 勝又明敏: “歯科画像診断の最新事情,” 医用画像情報学会雑誌, Vol.31, No.4, pp. 65-69, 2014．
3. [3] 咲間彩香, 斉藤久子, 勝村聖子, 熊谷章子, 岡広子, 本村あゆみ, 岩瀬博太郎: “日本の災害時において歯科身元判明率が向上しない要因に関する検討,” 日本災害医学会雑誌, Vol.26, No.1, pp. 1-10, 2021．
4. [4] N.-H. Lin, T.-L. Lin, X. Wang, W.-T. Kao, H.-W. Tseng, S.-L. Chen, Y.-S. Chiou, S.-Y. Lin, J. F. Villaverde, and Y.-F. Kuo: “Teeth Detection Algorithm and Teeth Condition Classification Based on Convolutional Neural Networks for Dental Panoramic Radiographs,” J. of Medical Imaging and Health Informatics, Vol.8, No.3, pp. 507-515. 2018.
5. [5] F. P. Mahdi, K. Motoki, and S. Kobashi: “Optimization Technique Combined with Deep Learning Method for Teeth Recognition in Dental Panoramic Radiographs,” Scientific Reports, Vol.10, No.1, Article No.19261, 2020.
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