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Articles in Press
6/28/2020 11:09:09 PM | Browse: 206 | Download: 357
Category |
Medicine, Research & Experimental |
Manuscript Type |
Minireviews |
Article Title |
Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Wei-Bo Mao, Jia-Yu Lyu, Deep k Vaishnani, Yu-Man Lyu, Wei Gong, Xi-Ling Xue, Yang-Ping Shentu and Jun Ma |
Funding Agency and Grant Number |
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Corresponding Author |
Jun Ma, MD, Doctor, Department of Pathology, First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Street 1, Wenzhou 325000, Zhejiang Province, China. majun@wzhospital.cn |
Key Words |
Artificial neural network; Deep learning; Gastrointestinal tumor; Tumor detection; Artificial intelligence; |
Core Tip |
This paper describes the application of artificial neural networks (ANN) in the detection and diagnosis of gastrointestinal and liver tumors, which investigate artificial intelligence, ANNs and their ability, parallel processing capability, and nonlinear processing. They occur widely in the early detection and diagnosis of tumorous. The working principle and the characteristics of the ANN introduced in this research paper. |
Citation |
Mao WB, Lyu JY, Vaishnani DK, Lyu YM, Gong W, Xue XL, Shentu YP, Ma J. Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors. World J Clin Cases 2020; 8(18): 3971-3977 |
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Received |
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2020-02-28 10:43 |
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Peer-Review Started |
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2020-02-28 10:46 |
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To Make the First Decision |
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Return for Revision |
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2020-04-24 12:06 |
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Revised |
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2020-05-10 04:44 |
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Second Decision |
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2020-06-28 10:08 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2020-06-28 23:09 |
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Articles in Press |
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2020-06-28 23:09 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-08-28 08:39 |
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Typeset the Manuscript |
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2020-09-10 14:00 |
ISSN |
2307-8960 (online) |
Open Access |
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
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