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Articles Published Processes
4/26/2021 11:27:56 AM | Browse: 538 | Download: 1103
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Received |
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2021-03-09 06:53 |
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Peer-Review Started |
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2021-03-09 06:56 |
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To Make the First Decision |
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Return for Revision |
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2021-03-26 03:25 |
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Revised |
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2021-04-02 03:58 |
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Second Decision |
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2021-04-19 07:43 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-04-20 05:04 |
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Articles in Press |
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2021-04-20 05:04 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-04-24 13:46 |
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Typeset the Manuscript |
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2021-04-26 03:50 |
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Publish the Manuscript Online |
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2021-04-26 11:27 |
| ISSN |
2644-3228 (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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2021. 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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| 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 |
| Category |
Methodology |
| Manuscript Type |
Minireviews |
| Article Title |
Advances in the application of artificial intelligence in solid tumor imaging
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ying Shao, Yu-Xuan Zhang, Huan-Huan Chen, Shan-Shan Lu, Shi-Chang Zhang and Jie-Xin Zhang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the “The Six Top Talent Project” of Jiangsu Province |
WSW-004 |
| National Natural Science Foundation of China |
81671836 |
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| Corresponding Author |
Jie-Xin Zhang, MD, PhD, Associate Professor, Senior Researcher, Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, Jiangsu Province, China. jiexinzhang@njmu.edu.cn |
| Key Words |
Artificial intelligence; Oncology; Imaging; Model performance |
| Core Tip |
Many reviews have summarized artificial intelligence (AI) applications in the diagnosis and treatment of single tumor type. However, this is a first review to systematically review how AI relieves clinical workloads and changes the current medical workflows while maintaining high quality to provide precision medicine in multiple solid tumors. Due to its clear advantage in imaging practice, patients will benefit from early diagnosis and appropriate treatment. |
| Publish Date |
2021-04-26 11:27 |
| Citation |
Shao Y, Zhang YX, Chen HH, Lu SS, Zhang SC, Zhang JX. Advances in the application of artificial intelligence in solid tumor imaging. Artif Intell Cancer 2021; 2(2): 12-24 |
| URL |
https://www.wjgnet.com/2644-3228/full/v2/i2/12.htm |
| DOI |
https://dx.doi.org/10.35713/aic.v2.i2.12 |
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