Use of the deep learning approach to measure alveolar bone level.

Journal: Journal of clinical periodontology
PMID:

Abstract

AIM: The goal was to use a deep convolutional neural network to measure the radiographic alveolar bone level to aid periodontal diagnosis.

Authors

  • Chun-Teh Lee
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Tanjida Kabir
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Jiman Nelson
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Sally Sheng
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Hsiu-Wan Meng
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Thomas E Van Dyke
    Center for Clinical and Translational Research, The Forsyth Institute, Cambridge, Massachusetts, USA.
  • Muhammad F Walji
    Department of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Xiaoqian Jiang
    School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA.
  • Shayan Shams
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.