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Publishing Language: Chinese

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

Xiaoyan LI1Chen LI2Haoyuan CHEN2Yong ZHANG1( )Jingdong ZHANG3( )
Department of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, China
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, China
Department of Digestive Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, China
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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.

CLC number: R735.3; TP183 Document code: A Article ID: 1674-9081(2022)04-0542-07

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Medical Journal of Peking Union Medical College Hospital
Pages 542-548

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Cite this article:
LI X, LI C, CHEN H, et al. Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer. Medical Journal of Peking Union Medical College Hospital, 2022, 13(4): 542-548. https://doi.org/10.12290/xhyxzz.2022-0074

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Received: 21 February 2022
Accepted: 26 May 2022
Published: 10 June 2022
© 2024 Medical Journal of Peking Union Medical College Hospital