Development and evaluation of deep learning for screening dental caries from oral photographs.

Journal: Oral diseases
Published Date: Dec 19, 2020

Abstract

OBJECTIVES: To develop and evaluate the performance of a deep learning system based on convolutional neural network (ConvNet) to detect dental caries from oral photographs.

Authors

  • Xuan Zhang
  • Yuan Liang
    University of California, Los Angeles, CA, USA.
  • Wen Li
  • Chao Liu
    Anti-Drug Technology Center of Guangdong Province, National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou 510230, China.
  • Deao Gu
    Department of Orthodontics, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China.
  • Weibin Sun
    Department of Periodontology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China.
  • Leiying Miao
    Department of Endodontics, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China.

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