| Autor: |
CHEN Ze-shan, ZHU Wen-lin, LI Yu-lian, DENG Xin, PENG Pei-chun, WANG Miao-dong, WEN Bin, ZHANG Ming-qi |
| Předmět: |
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| Zdroj: |
Journal of Hainan Medical University; 2023, Vol. 29 Issue 8, p623-634, 6p |
| Abstrakt: |
The overcoming of liver cancer is a major problem urgently to be solved by the World Health Organization. The emergence of precision medicine brings hope to improving the level of diagnosis and treatment of liver cancer, but it is difficult for clinicians to effectively analyze and integrate a large amount of data from multiple dimensions and angles of precision medicine, so it is difficult to them to provide the best treatment plan for liver cancer patients. Artificial neural networks have powerful integration, analysis and autonomous learning capabilities, which can effectively improve the accuracy of diagnosis, staging, prognosis and treatment of liver cancer patients, and are of great significance to the development of precision medicine for liver cancer. Therefore, this article reviews the application status of Artificial neural networks in the field of liver cancer. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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