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5/23/2023 9:31:15 AM | Browse: 111 | Download: 312
Publication Name World Journal of Radiology
Manuscript ID 82467
Country/Territory Bulgaria
Received
2022-12-19 14:07
Peer-Review Started
2022-12-19 14:09
To Make the First Decision
Return for Revision
2023-02-20 08:01
Revised
2023-03-21 03:29
Second Decision
2023-04-10 03:10
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-04-10 08:20
Articles in Press
2023-04-10 08:20
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2023-05-17 06:56
Publish the Manuscript Online
2023-05-23 05:56
ISSN 1949-8470 (online)
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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright Copyright: © The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Minireviews
Article Title Future of prostate imaging - artificial intelligence in assessing prostatic magnetic resonance imaging
Manuscript Source Invited Manuscript
All Author List Lyubomir Chervenkov, Nikolay Sirakov, Gancho Kostov, Tsvetelina Velikova and George Hadjidekov
Funding Agency and Grant Number
Corresponding Author George Hadjidekov, MD, PhD, Associate Professor, Department of Radiology, University Hospital Lozenetz, 1 Kozyak str, Sofia 1407, Bulgaria. jordiman76@yahoo.com
Key Words Artificial intelligence; Deep learning; Machine learning; Multiparametric magnetic resonance imaging; Prostate cancer; Quantitative imaging
Core Tip There are currently enough studies showing the possible benefits of using artificial intelligence in prostate cancer diagnosis. In addition, there are various software products to assist the radiologist in diagnosis in this field, created by leading companies. However, a new approach is needed in diagnosing prostate carcinoma due to the complexity of the disease.
Publish Date 2023-05-23 05:56
Citation Chervenkov L, Sirakov N, Kostov G, Velikova T, Hadjidekov G. Future of prostate imaging - artificial intelligence in assessing prostatic magnetic resonance imaging. World J Radiol 2023; 15(5): 136-145
URL https://www.wjgnet.com/1949-8470/full/v15/i5/136.htm
DOI https://dx.doi.org/10.4329/wjr.v15.i5.136
Full Article (PDF) WJR-15-136.pdf
Full Article (Word) WJR-15-136.docx
Manuscript File 82467_Auto_Edited-JLW.docx
Answering Reviewers 82467-Answering reviewers.pdf
Audio Core Tip 82467-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 82467-Conflict-of-interest statement.pdf
Copyright License Agreement 82467-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 82467-Language certificate.pdf
Peer-review Report 82467-Peer-review(s).pdf
Scientific Misconduct Check 82467-Bing-Liu XF-2.png
Scientific Editor Work List 82467-Scientific editor work list.pdf