Dental disease detection on periapical radiographs based on deep convolutional neural networks.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

OBJECTIVES: It is with a great prospect to develop an auxiliary diagnosis system for dental periapical radiographs based on deep convolutional neural networks (CNNs), and the indications and performances should be investigated. The aim of this study is to train CNNs for lesion detections on dental periapical radiographs, to evaluate performances across disease categories, severity levels, and train strategies.

Authors

  • Hu Chen
  • Hong Li
    Department of Public Health Sciences, Medical College of South Carolina, Charleston, SC.
  • Yijiao Zhao
    Center of Digital Dentistry, Peking University School and Hospital of Stomatology, Beijing, People's Republic of China.
  • Jianjiang Zhao
    Center of Digital Dentistry, Peking University School and Hospital of Stomatology, Beijing, People's Republic of China.
  • Yong Wang
    State Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University Hunghom Kowloon Hong Kong P. R. China kwok-yin.wong@polyu.edu.hk.