Convolutional neural network-based automatic cervical vertebral maturation classification method.

Journal: Dento maxillo facial radiology
Published Date: Jul 5, 2022

Abstract

OBJECTIVES: This study aimed to develop a fully automated artificial intelligence-aided cervical vertebral maturation (CVM) classification method based on convolutional neural networks (CNNs) to provide an auxiliary diagnosis for orthodontists.

Authors

  • Haizhen Li
    Department of Orthodontics, Peking University School and Hospital of Stomatology, 22 Zhongguancun South Avenue, Haidian District, Beijing, P.R. China.
  • Yanlong Chen
  • Qing Wang
    School of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, China. qwang@163.com.
  • Xu Gong
    Department of Orthodontics, Peking University School and Hospital of Stomatology, 22 Zhongguancun South Avenue, Haidian District, Beijing, P.R. China.
  • Yi Lei
    Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, China.
  • Jialiang Tian
    School of Artificial Intelligence, Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, P.R. China.
  • Xuemei Gao
    Department of Orthodontics, Peking University School and Hospital of Stomatology, 22 Zhongguancun South Avenue, Haidian District, Beijing, P.R. China.

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