A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images.

Journal: Japanese journal of radiology
Published Date:

Abstract

PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) images to distinguish pancreatic ductal adenocarcinoma (PDAC) and autoimmune pancreatitis (AIP), which could effectively improve the accuracy of diseases diagnosis.

Authors

  • Wenting Wei
    School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, 130022, China.
  • Guorong Jia
    Department of Nuclear Medicine, The First Affiliated Hospital of Naval Medical University (Changhai Hospital), 168 Changhai Road, Shanghai, 200433, China.
  • Zhongyi Wu
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China.
  • Tao Wang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Heng Wang
    Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Kezhen Wei
    School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, 130022, China.
  • Chao Cheng
    Department of Molecular and Systems Biology, Lebanon, USA. Chao.Cheng@bcm.edu.
  • Zhaobang Liu
    Suzhou Institute of Biomedical Engineering and Technology of Chinese Academy of Sciences, Suzhou, 215163, China.
  • Changjing Zuo
    Department of Nuclear Medicine, The First Affiliated Hospital of Naval Medical University (Changhai Hospital), 168 Changhai Road, Shanghai, 200433, China.