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Articles Published Processes
11/18/2024 3:30:37 AM | Browse: 60 | Download: 197
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Received |
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2024-08-04 19:24 |
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Peer-Review Started |
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2024-08-05 23:59 |
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To Make the First Decision |
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Return for Revision |
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2024-09-07 22:59 |
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Revised |
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2024-09-11 09:06 |
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Second Decision |
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2024-10-11 01:09 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-10-21 09:21 |
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Articles in Press |
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2024-10-21 09:21 |
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Publication Fee Transferred |
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2024-10-23 11:30 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-10-29 16:33 |
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Publish the Manuscript Online |
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2024-11-18 03:30 |
| ISSN |
1948-9358 (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) 2024. 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 |
Endocrinology & Metabolism |
| Manuscript Type |
Prospective Study |
| Article Title |
Screening and evaluation of diabetic retinopathy via a deep learning network model: A prospective study
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Li Yao, Chan-Yuan Cao, Guo-Xiao Yu, Xu-Peng Shu, Xiao-Nan Fan and Yi-Fan Zhang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Li Yao, MD, Assistant Professor, Department of Ophthalmology, First People's Hospital of Linping District, NO. 369 Yingbin Road, Nanyuan Street, Linping District, Hangzhou 311100, Zhejiang Province, China. 13858108135@163.com |
| Key Words |
Deep learning; Stratified screening; Artificial intelligence; Diabetic retinopathy |
| Core Tip |
Application value of a deep learning network model based on an attention mechanism in screening diabetic retinopathy (DR). By building and optimizing a deep learning model that incorporates attention mechanisms, we analyze its accuracy and efficiency in identifying features of DR and compare it with those of traditional methods. Research has focused on key performance indicators such as the sensitivity, specificity and accuracy of the model, as well as the contribution of attention mechanisms in the feature extraction process. Ultimately, the aim is to provide a more effective screening tool to improve the accuracy of clinical diagnosis and the possibility of early intervention. |
| Publish Date |
2024-11-18 03:30 |
| Citation |
<p>Yao L, Cao CY, Yu GX, Shu XP, Fan XN, Zhang YF. Screening and evaluation of diabetic retinopathy via a deep learning network model: A prospective study. <i>World J Diabetes</i> 2024; 15(12): 2302-2310</p> |
| URL |
https://www.wjgnet.com/1948-9358/full/v15/i12/2302.htm |
| DOI |
https://dx.doi.org/10.4239/wjd.v15.i12.2302 |
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