CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer.

Abstract

Authors

• Rui-Jia Sun
  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. Electronic address: sunruijia328@163.com.
• Meng-Jie Fang
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China.
• Lei Tang
  Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
• Xiao-Ting Li
• Qiao-Yuan Lu
  Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. Electronic address: luqiaoyuan85@163.com.
• Di Dong
  The Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Jie Tian
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Ying-Shi Sun

Keywords

External Resources