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9/22/2020 3:17:13 AM | Browse: 497 | Download: 859
Publication Name World Journal of Clinical Cases
Manuscript ID 55040
Country China
Received
2020-02-28 10:43
Peer-Review Started
2020-02-28 10:46
To Make the First Decision
Return for Revision
2020-04-24 12:06
Revised
2020-05-10 04:44
Second Decision
2020-06-28 10:08
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-06-28 23:09
Articles in Press
2020-06-28 23:09
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-08-28 08:39
Typeset the Manuscript
2020-09-10 14:00
Publish the Manuscript Online
2020-09-22 03:17
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.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Medicine, Research & Experimental
Manuscript Type Minireviews
Article Title Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors
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
ORCID
Author(s) ORCID Number
Wei-Bo Mao http://orcid.org/0000-0002-6827-4062
Jia-Yu Lyu http://orcid.org/0000-0002-7965-2620
Deep k Vaishnani http://orcid.org/0000-0001-7666-0986
Yu-Man Lyu http://orcid.org/0000-0002-5146-1865
Wei Gong http://orcid.org/0000-0003-4037-4712
Xi-Ling Xue http://orcid.org/0000-0002-8776-1747
Yang-Ping Shentu http://orcid.org/0000-0001-6986-3005
Jun Ma http://orcid.org/0000-0002-6343-8187
Funding Agency and Grant Number
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.
Publish Date 2020-09-22 03:17
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
URL https://www.wjgnet.com/2307-8960/full/v8/i18/3971.htm
DOI https://dx.doi.org/10.12998/wjcc.v8.i18.3971
Full Article (PDF) WJCC-8-3971.pdf
Full Article (Word) WJCC-8-3971.docx
Manuscript File 55040-Review_WangTQ.docx
Answering Reviewers 55040-Answering reviewers.pdf
Audio Core Tip 55040-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 55040-Conflict-of-interest statement.pdf
Copyright License Agreement 55040-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 55040-Language certificate.pdf
Peer-review Report 55040-Peer-review(s).pdf
Scientific Misconduct Check 55040-Bing-Fan FX-1.png
Scientific Misconduct Check 55040-Bing-Liu M-2.jpg
Scientific Misconduct Check 55040-Scientific misconduct check.pdf
Scientific Editor Work List 55040-Scientific editor work list.pdf