Development of a deep learning-based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study.

Journal: Clinical and translational medicine
Published Date:

Abstract

No abstract available for this article.

Authors

  • Yujia Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • Hui Duan
    Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Di Dong
    The Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Jiaming Chen
    Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Lianzhen Zhong
    CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Liwen Zhang
    National Engineering Laboratory of Big Data Analytics, Xi'an Jiaotong University, Xi'an 710049, China.
  • Runnan Cao
    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, PR China; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Hai Dian District, Beijing 100190, PR China.
  • Huijian Fan
    Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Zhumei Cui
    The affiliated hospital of Qingdao University, Qingdao, China.
  • Ping Liu
    Department of Cardiology, the Second Hospital of Shandong University, 250033 Jinan, Shandong, China.
  • Shan Kang
    Department of Gynecology, Fourth Hospital Hebei Medical University, Shijiazhuang, China.
  • Xuemei Zhan
    Jiangmen central Hospital, Jiangmen, China.
  • Shaoguang Wang
    Department of Gynecology, Yantai Yuhuangding Hospital, Yantai, China.
  • Xun Zhao
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Chunlin Chen
    Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.