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Volume 13 Issue 4
Jul.  2022
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Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2022  >  13(4): 542-548
LI Xiaoyan, LI Chen, CHEN Haoyuan, ZHANG Yong, ZHANG Jingdong. Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer[J]. Medical Journal of Peking Union Medical College Hospital, 2022, 13(4): 542-548. doi: 10.12290/xhyxzz.2022-0074
Citation: LI Xiaoyan, LI Chen, CHEN Haoyuan, ZHANG Yong, ZHANG Jingdong. Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer[J]. Medical Journal of Peking Union Medical College Hospital, 2022, 13(4): 542-548. doi: 10.12290/xhyxzz.2022-0074
shu

Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer

doi: 10.12290/xhyxzz.2022-0074
  • 1.

    Department of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, China

  • 2.

    College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, China

  • 3.

    Department of Digestive Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, China

Funds:  Tongxing Pathology Public Welfare Project of Beijing Union Medical Foundation
More Information
  • Corresponding author: ZHANG Yong, E-mail: zhycmu@163.com; ZHANG Jingdong, E-mail: jdzhang@cancerhosp-ln-cmu.com
  • Received Date: 2022-02-21
  • Accepted Date: 2022-05-26
    • Available Online: 2022-06-10
  • Publish Date: 2022-07-30
    Abstract
  • The artificial intelligence technology of computer science is widely used in digital pathology and develops rapidly, which is a milestone in the era of accurate diagnosis and treatment of tumors. As the gold standard of tumor diagnosis, traditional pathology is highly subjective and unrepeatable, and the work is cumbersome. Feature extraction and quantitative analysis of digital pathological images based on artificial intelligence technology are transformed into data with high fidelity and high-throughput that can be mined and analyzed. It shows unique advantages in early diagnosis, grading, and constructing the prognostic model of tumors. The development of artificial intelligence in digital pathology has brought a unique opportunity for pathology, and it is also the trend of the development of precise diagnosis and treatment in the future. In order to provide reference for clinical diagnosis and treatment, we review the current status and the value of potential application of artificial intelligence in digital pathological image analysis of colorectal cancer.
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