名称 | Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors |
作者 | |
发表期刊 | World Journal of Clinical Cases; |
语种 | 英语 |
原始文献类型 | Short Survey |
关键词 | Artificial intelligence Artificial neural network Deep learning Gastrointestinal tumor Tumor detection |
摘要 | As a form of artificial intelligence, artificial neural networks (ANNs) have the advantages of adaptability, parallel processing capabilities, and non-linear processing. They have been widely used in the early detection and diagnosis of tumors. In this article, we introduce the development, working principle, and characteristics of ANNs and review the research progress on the application of ANNs in the detection and diagnosis of gastrointestinal and liver tumors. |
出版者 | Baishideng Publishing Group Cobpgoffice@wjgnet.com |
ISSN | 2307-8960 |
卷号 | 8 |
期号 | 18 |
页码 | 3971-3977 |
DOI | 10.12998/wjcc.v8.i18.3971 |
收录类别 | SCOPUS |
发布日期 | 2020-09-26 |
URL | 查看原文 |
通讯作者地址 | [Ma, Jun]Department of Pathology,First Affiliated Hospital of Wenzhou Medical University,No. 1 Nanbaixiang Street,Wenzhou, Zhejiang Province,325000,China |
Scopus学科分类 | Medicine (all) |
SCOPUSEID | 2-s2.0-85091772908 |
引用统计 | |
文献类型 | 其他 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/185274 |
专题 | 其他_附属康宁医院(温州市康宁医院) 附属第一医院 国际教育学院 |
通讯作者 | Ma, Jun |
作者单位 | 1.Department of Pathology,Lishui Hospital of Zhejiang University,Lishui Central Hospital,Lishui, Zhejiang Province,323000,China; 2.Department of Psychiatry,The Affiliated Kangning Hospital of Wenzhou Medical University,Wenzhou, Zhejiang Province,325000,China; 3.School of International Studies,Wenzhou Medical University,Wenzhou, Zhejiang Province,325035,China; 4.College of Civil Engineering and Architecture,Zhejiang University,Hangzhou, Zhejiang Province,310058,China; 5.Department of Pathology,First Affiliated Hospital of Wenzhou Medical University,Wenzhou, Zhejiang,325000,China |
通讯作者单位 | 附属第一医院 |
推荐引用方式 GB/T 7714 | Mao, Wei-Bo,Lyu, Jia-Yu,Vaishnani, Deep K.,et al. Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors. 2020. |
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