Establishment and clinical application value of an automatic diagnosis platform for rectal cancer T-staging based on a deep neural network.

Journal: Chinese medical journal
Published Date: Feb 25, 2021

Abstract

BACKGROUND: Colorectal cancer is harmful to the patient's life. The treatment of patients is determined by accurate preoperative staging. Magnetic resonance imaging (MRI) played an important role in the preoperative examination of patients with rectal cancer, and artificial intelligence (AI) in the learning of images made significant achievements in recent years. Introducing AI into MRI recognition, a stable platform for image recognition and judgment can be established in a short period. This study aimed to establish an automatic diagnostic platform for predicting preoperative T staging of rectal cancer through a deep neural network.

Authors

  • Qing-Yao Wu
    Department of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, China.
  • Shang-Long Liu
    Department of General Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China.
  • Pin Sun
    Department of Cardiac Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China.
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Guang-Wei Liu
    Shandong Key Laboratory of Digital Medicine & Computer Assisted Surgery, Qingdao University, Qingdao, Shandong 266003, China.
  • Shi-Song Liu
    Department of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China.
  • Ji-Lin Hu
    Department of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China.
  • Tian-Ye Niu
    Nuclear and Radiological Engineering and Medical Physics Programs, Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA.
  • Yun Lu
    Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.

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