Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer
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, an...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Medical Journal of Peking Union Medical College Hospital
2022-07-01
|
| Series: | Xiehe Yixue Zazhi |
| Subjects: | |
| Online Access: | https://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2022-0074 |
| _version_ | 1811315596812353536 |
|---|---|
| author | LI Xiaoyan LI Chen CHEN Haoyuan ZHANG Yong ZHANG Jingdong |
| author_facet | LI Xiaoyan LI Chen CHEN Haoyuan ZHANG Yong ZHANG Jingdong |
| author_sort | LI Xiaoyan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T11:33:12Z |
| format | Article |
| id | doaj.art-8f8267f7055a48cbaee922e8efb93ca4 |
| institution | Directory Open Access Journal |
| issn | 1674-9081 |
| language | zho |
| last_indexed | 2024-04-13T11:33:12Z |
| publishDate | 2022-07-01 |
| publisher | Editorial Office of Medical Journal of Peking Union Medical College Hospital |
| record_format | Article |
| series | Xiehe Yixue Zazhi |
| spelling | doaj.art-8f8267f7055a48cbaee922e8efb93ca42022-12-22T02:48:31ZzhoEditorial Office of Medical Journal of Peking Union Medical College HospitalXiehe Yixue Zazhi1674-90812022-07-0113454254810.12290/xhyxzz.2022-0074Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal CancerLI Xiaoyan0LI Chen1CHEN Haoyuan2ZHANG Yong3ZHANG Jingdong4Department of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, ChinaCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, ChinaDepartment of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, ChinaDepartment of Digestive Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, ChinaThe 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.https://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2022-0074artificial intelligencedeep learningdigital pathologycolorectal cancer |
| spellingShingle | 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 Xiehe Yixue Zazhi artificial intelligence deep learning digital pathology colorectal cancer |
| title | Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer |
| title_full | Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer |
| title_fullStr | Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer |
| title_full_unstemmed | Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer |
| title_short | Application and Research Progress of Artificial Intelligence in Digital Pathological Image Analysis of Colorectal Cancer |
| title_sort | application and research progress of artificial intelligence in digital pathological image analysis of colorectal cancer |
| topic | artificial intelligence deep learning digital pathology colorectal cancer |
| url | https://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2022-0074 |
| work_keys_str_mv | AT lixiaoyan applicationandresearchprogressofartificialintelligenceindigitalpathologicalimageanalysisofcolorectalcancer AT lichen applicationandresearchprogressofartificialintelligenceindigitalpathologicalimageanalysisofcolorectalcancer AT chenhaoyuan applicationandresearchprogressofartificialintelligenceindigitalpathologicalimageanalysisofcolorectalcancer AT zhangyong applicationandresearchprogressofartificialintelligenceindigitalpathologicalimageanalysisofcolorectalcancer AT zhangjingdong applicationandresearchprogressofartificialintelligenceindigitalpathologicalimageanalysisofcolorectalcancer |