Multi-classification of breast cancer pathology images based on a two-stage hybrid network.

Journal: Journal of cancer research and clinical oncology
Published Date: Nov 18, 2024

Abstract

BACKGROUND AND OBJECTIVE: In current clinical medicine, pathological image diagnosis is the gold standard for cancer diagnosis. After pathologists determine whether breast lesions are malignant or benign, further sub-type classification is often necessary.

Authors

  • Guolan Wang
    School of Computer Information Engineering, Shanxi Technology and Business University, Taiyuan, China.
  • Mengjiu Jia
    School of Computer Information Engineering, Shanxi Technology and Business University, Taiyuan, China.
  • Qichao Zhou
    Manteia Technologies Co., Ltd, Xiamen, P. R. China.
  • Songrui Xu
    Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
  • Yadong Zhao
    Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
  • Qiaorong Wang
    Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
  • Zhi Tian
    Second Clinical Medical College, Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, People's Republic of China.
  • Ruyi Shi
    Department of Cell Biology and Genetics, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
  • Keke Wang
    The First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
  • Ting Yan
    Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui, China.
  • Guohui Chen
    Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China. 15343590882@163.com.
  • Bin Wang
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.

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