An Overview of the Application of Artificial Neural Networks in Lung Cancer Research.
10.3779/j.issn.1009-3419.2019.04.08
- Author:
Xingyu ZHU
1
;
Nan CHEN
1
;
Lunxu LIU
2
;
Qiang PU
2
Author Information
1. West China School of Medicine, Sichuan University, Chengdu 610041, China.
2. Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
- Publication Type:Journal Article
- Keywords:
Artificial neural networks;
Lung neoplasms;
Precision medicine
- MeSH:
Biomedical Research;
methods;
Humans;
Lung Neoplasms;
diagnostic imaging;
therapy;
Neural Networks (Computer)
- From:
Chinese Journal of Lung Cancer
2019;22(4):245-249
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment methods. The development of precision medicine has brought new opportunities for the improvement of diagnosis and treatment of lung cancer. However, various kinds of information required by precision medicine (such as biometrics, clinical test indicators and non-biological environmental background information) are difficult for clinicians to integrate and utilize effectively. With the development of computer technology, artificial neural networks (ANNs), which has the characteristic of high fault tolerance, intelligence and self-learning ability. Its powerful information integration ability can solve many problems in the development and application of precision medicine, which can play a key role in basic research and clinical practice associated with lung cancer. This article reviewed the application of artificial neural network in the field of lung cancer.
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