Deep Learning Radiomics Model of Contrast-Enhanced CT for Differentiating the Primary Source of Liver Metastases.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: To develop and validate a deep learning radiomics (DLR) model based on contrast-enhanced computed tomography (CT) to identify the primary source of liver metastases.

Authors

  • Wenjing Jia
    School of Electrical and Data Engineering (SEDE), University of Technology Sydney, 2007, Sydney, Australia.
  • Fuyan Li
    Department of Radiology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.
  • Yi Cui
    Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education (GI-CoRE), Proton Beam Therapy Center, North 14 West 5 Kita-ku, Sapporo, Hokkaido, 060-8648, Japan.
  • Yong Wang
    State Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University Hunghom Kowloon Hong Kong P. R. China kwok-yin.wong@polyu.edu.hk.
  • Zhengjun Dai
    Scientific Research Department, Huiying Medical Technology Co., Ltd, Beijing, China.
  • Qingqing Yan
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
  • Xinhui Liu
    Ping An Technology (Shenzhen) Co.,Ltd, China.
  • Yuting Li
    Department of Food Science and Nutrition, National Engineering Laboratory of Intelligent Food Technology and Equipment, Key Laboratory for Agro-Products Postharvest Handling of Ministry of Agriculture, Zhejiang Key Laboratory for Agro-Food Processing, Fuli Institute of Food Science, Zhejiang University, Hangzhou 310058, China.
  • Huan Chang
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
  • Qingshi Zeng
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.