[Study on the accuracy of automatic segmentation of knee CT images based on deep learning].

Journal: Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Published Date: May 15, 2022

Abstract

OBJECTIVE: To develop a neural network architecture based on deep learning to assist knee CT images automatic segmentation, and validate its accuracy.

Authors

  • Ping Song
    Medical School of Chinese PLA General Hospital, Beijing, 100853, P. R. China.
  • Zheqi Fan
    Medical School of Chinese PLA General Hospital, Beijing, 100853, P. R. China.
  • Xin Zhi
    Senior Department of Orthopedics, The Fourth Medical Center of PLA General Hospital, Beijing, China.
  • Zheng Cao
    College of Computer Science and Technology, Zhejiang University, Hangzhou, 310006, China.
  • Shengfeng Min
    Longwood Valley Medical Technology Co. Ltd, Beijing, 100190, P. R. China.
  • Xingyu Liu
    First People's Hospital of Zunyi City, Zunyi, China.
  • Yiling Zhang
    Department of Otolaryngology Head and Neck Surgery，the Second Xiangya Hospital，Central South University，Changsha，410011，China.
  • Xiangpeng Kong
    Senior Department of Orthopedics, the Fourth Medical Centre of Chinese PLA General Hospital, Beijing, 100048, P.R.China.
  • Wei Chai
    Department of Orthopaedics, Chinese People's Liberation Army General Hospital (301 Hospital), 28 Fuxing Rd, 100853, Beijing, China.

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