Development of a multi-stage model for intelligent and quantitative appraising of skeletal maturity using cervical vertebras cone-beam CT images of Chinese girls.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jan 4, 2022

Abstract

PURPOSE: Nowadays, the integration of Artificial intelligence algorithms and quantified radiographic imaging-based diagnostic procedures is hailing amplified deliberation particularly in assessment of skeletal maturity. So we intend to formulate a logistic regression model for intelligent and quantitative estimation of Fishman skeletal maturation index (SMI) based on the parameters attained from the cervical vertebrae CBCT images of Chinese girls.

Authors

  • Lizhe Xie
    Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, China.
  • Wen Tang
    Infervision, Beijing, China.
  • Iman Izadikhah
    Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, China.
  • Zhenqi Zhao
    Department of Stomatology, The First People's Hospital of Nantong, Nantong, China.
  • Yang Zhao
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Hu Li
    School of Business, Qingdao University, Qingdao, Shandong, China.
  • Bin Yan
    National Digital Switching System Engineering and Technological Research Centre, Zhengzhou, China.

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