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Articles Published Processes
8/20/2025 8:41:25 AM | Browse: 41 | Download: 72
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Received |
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2025-05-26 06:13 |
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Peer-Review Started |
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2025-05-26 06:13 |
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To Make the First Decision |
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Return for Revision |
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2025-06-04 06:20 |
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Revised |
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2025-06-04 07:16 |
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Second Decision |
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2025-07-07 02:43 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-07-07 06:28 |
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Articles in Press |
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2025-07-07 06:28 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-08-07 03:48 |
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Publish the Manuscript Online |
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2025-08-20 08:41 |
| ISSN |
2218-4333 (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 |
© 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Deep learning models for pathological classification and staging of oesophageal cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Himanshu Agrawal and Nikhil Gupta |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Nikhil Gupta, Department of Surgery, Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital, BKS Marg, Delhi 110001, India. nikhil_ms26@yahoo.co.in |
| Key Words |
Deep learning; Esophageal neoplasms; Pathological classification; Cancer staging; Artificial intelligence |
| Core Tip |
This letter highlights Wei et al’s study on the Wave-Vision Transformer (Wave-ViT), an advanced deep learning model integrating frequency-domain analysis for accurate, efficient pathological classification and staging of oesophageal cancer. Wave-ViT shows superior performance and clinical potential in early cancer detection and personalized treatment, though broader validation and explainability remain essential. |
| Publish Date |
2025-08-20 08:41 |
| Citation |
<p>Agrawal H, Gupta N. Deep learning models for pathological classification and staging of oesophageal cancer. <i>World J Clin Oncol</i> 2025; 16(8): 109893</p> |
| URL |
https://www.wjgnet.com/2218-4333/full/v16/i8/109893.htm |
| DOI |
https://dx.doi.org/10.5306/wjco.v16.i8.109893 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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