Predicting molecular subtypes of breast cancer based on multi-parametric MRI dataset using deep learning method.

Journal: Magnetic resonance imaging
PMID:

Abstract

PURPOSE: To develop a multi-parametric MRI model for the prediction of molecular subtypes of breast cancer using five types of breast cancer preoperative MRI images.

Authors

  • Wanqing Ren
    Postgraduate Department, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan City, Shandong Province, China.
  • Xiaoming Xi
    School of Computer Science and Technology, Shandong Jianzhu University, Jinan SD, China.
  • Xiaodong Zhang
    The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Kesong Wang
    School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China.
  • Menghan Liu
    Department of Health Management, The First Affiliated Hospital of Shandong First Medical University and Qianfoshan Hospital, Jinan City, Shandong Province, China.
  • Dawei Wang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Yanan Du
    Department of Biomedical Engineering, School of Medicine, Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084, China.
  • Jingxiang Sun
    Postgraduate Department, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan City, Shandong Province, China.
  • Guang Zhang
    Department of Health Management, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.