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Articles Published Processes
7/14/2025 12:55:51 PM | Browse: 29 | Download: 49
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Received |
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2025-04-07 04:13 |
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Peer-Review Started |
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2025-04-07 04:13 |
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To Make the First Decision |
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Return for Revision |
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2025-04-17 10:38 |
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Revised |
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2025-04-17 13:54 |
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Second Decision |
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2025-05-13 02:36 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-05-13 06:43 |
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Articles in Press |
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2025-05-13 06:43 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2025-05-17 18:46 |
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Typeset the Manuscript |
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2025-07-02 04:22 |
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Publish the Manuscript Online |
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2025-07-14 12:55 |
| ISSN |
1948-5204 (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) 2025. 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 |
Oncology |
| Manuscript Type |
Editorial |
| Article Title |
Deep learning radiomics: Redefining precision oncology through noninvasive insights into the tumor immune microenvironment
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Mesut Tez |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Mesut Tez, Department of Surgery, University of Health Sciences, Ankara City Hospital, No. 1 Bilkent Street, District of Universities, Ankara 06800, Türkiye. mesuttez@yahoo.com |
| Key Words |
Colorectal cancer; Radiomics; Tumor immune microenvironment; Therapy; Immuno-therapy |
| Core Tip |
CT-based deep learning radiomics offers a noninvasive, scalable method to predict the tumor immune microenvironment (TIME) in colorectal cancer (CRC), potentially revolutionizing personalized immunotherapy and precision oncology by overcoming the limitations of traditional biopsy methods. |
| Publish Date |
2025-07-14 12:55 |
| Citation |
<p>Tez M. Deep learning radiomics: Redefining precision oncology through noninvasive insights into the tumor immune microenvironment. <i>World J Gastrointest Oncol</i> 2025; 17(7): 108175</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i7/108175.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i7.108175 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
