Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images.

Journal: BMC oral health
Published Date:

Abstract

OBJECTIVES: Development and verification of a convolutional neural network (CNN)-based deep learning (DL) model for mandibular canal (MC) localization on multicenter cone beam computed tomography (CBCT) images.

Authors

  • Xiao Pan
    Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Chengtao Wang
    School of Electrical and Control Engineering, Xuzhou University of Technology, Xuzhou, China.
  • Xuhui Luo
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Zhong Yang Road 30, Nanjing, Jiangsu Province, 210008, China.
  • Qi Dong
    Institute of Biomechanics and Rehabilitation Engineering, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P.R.China;Shanghai Engineering Research Center of Assistive Devices, Shanghai 200093, P.R.China;Key Laboratory of Nerve Function Information and Rehabilitation Engineering, Shanghai 200093, P.R.China.
  • Haiyang Sun
    College of Information Engineering, Henan University of Science and Technology, 263 Kaiyuan Avenue, 471023, Luoyang, China.
  • Wentao Zhang
    Department of Sports Medicine and Rehabilitation, Peking University Shenzhen Hospital, Shenzhen 518036, China.
  • Hongyan Qu
    Shanghai Bondent Technology Co., Ltd, Shanghai, 201800, China.
  • Runzhi Deng
    Department of General Dentistry, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China. doctord@163.com.
  • Zitong Lin
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China. linzitong_710@163.com.