Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors

被引：14
|
作者：
Mao, Wei-Bo [1 ]
Lyu, Jia-Yu [2 ]
Vaishnani, Deep K. [3 ]
Lyu, Yu-Man [4 ]
Gong, Wei [1 ]
Xue, Xi-Ling [2 ]
Shentu, Yang-Ping [5 ]
Ma, Jun [5 ]
机构：
[1] Zhejiang Univ, Lishui Cent Hosp, Lishui Hosp, Dept Pathol, Lishui 323000, Zhejiang, Peoples R China
[2] Wenzhou Med Univ, Affiliated Kangning Hosp, Dept Psychiat, Wenzhou 325000, Zhejiang, Peoples R China
[3] Wenzhou Med Univ, Sch Int Studies, Wenzhou 325035, Zhejiang, Peoples R China
[4] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Zhejiang, Peoples R China
[5] Wenzhou Med Univ, Affiliated Hosp 1, Dept Pathol, 1 Nanbaixiang St, Wenzhou 325000, Zhejiang, Peoples R China
来源：
WORLD JOURNAL OF CLINICAL CASES | 2020年 / 8卷 / 18期
关键词：
Artificial neural network; Deep learning; Gastrointestinal tumor; Tumor detection; Artificial intelligence; GASTRIC-CANCER; COLORECTAL-CANCER; INTELLIGENCE; BLOOD; MODEL; CEA;
D O I：
10.12998/wjcc.v8.i18.3971
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
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.
引用
收藏
页码：3971 / 3977
页数：7
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