HER2-ResNet: A HER2 classification method based on deep residual network.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:

Abstract

BACKGROUND: HER2 gene expression is one of the main reference indicators for breast cancer detection and treatment, and it is also an important target for tumor targeted therapy drug selection. Therefore, the correct detection and evaluation of HER2 gene expression has important value for clinical treatment of breast cancer.

Authors

  • Xingang Wang
    Department of Orthopedics, Baoji City Hospital of Traditional Chinese Medicine, Baoji, China.
  • Cuiling Shao
    School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China.
  • Wensheng Liu
    School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China.
  • Hu Liang
    State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, 510060, P. R. China.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.