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Volume 12 Issue 5
Sep.  2021
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Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2021  >  12(5): 742-748
YAN Rui, CHEN Limeng, LI Jintao, REN Fei. Research Progress of Cancer Classification Based on Deep Learning and Histopathological Images[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(5): 742-748. doi: 10.12290/xhyxzz.2021-0452
Citation: YAN Rui, CHEN Limeng, LI Jintao, REN Fei. Research Progress of Cancer Classification Based on Deep Learning and Histopathological Images[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(5): 742-748. doi: 10.12290/xhyxzz.2021-0452
shu

Research Progress of Cancer Classification Based on Deep Learning and Histopathological Images

doi: 10.12290/xhyxzz.2021-0452
  • 1.

    Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049, China

  • 3.

    Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

Funds:

National Natural Science Foundation of China 82072939

More Information
  • Corresponding author: REN Fei   Tel: 86-10-62600343, E-mail: renfei@ict.ac.cn
  • Received Date: 2021-06-07
  • Accepted Date: 2021-07-29
    • Available Online: 2021-09-16
  • Publish Date: 2021-09-30
    Abstract
  • Accurate classification of cancer is directly related to the choice of treatment options and prognosis. Pathological diagnosis is the gold standard for cancer diagnosis. The digitalization of pathological images and breakthroughs in deep learning have made computer-aided diagnosis and prediction about prognosis possible. In this paper, we first briefly describe four deep learning methods commonly used in this field, and then review the latest research progress in cancer classification based on deep learning and histopathological images. Finally, the general problems in this field are summarized, and the possible development direction in the future is suggested.
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