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Articles Published Processes
6/14/2024 9:10:00 AM | Browse: 113 | Download: 569
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Received |
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2024-01-20 15:34 |
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Peer-Review Started |
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2024-01-20 15:34 |
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First Decision by Editorial Office Director |
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2024-02-05 20:26 |
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Return for Revision |
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2024-02-06 10:08 |
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Revised |
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2024-02-19 08:09 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-04-12 02:33 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-04-12 08:04 |
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Articles in Press |
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2024-04-12 08:04 |
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Edit the Manuscript by Language Editor |
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2024-04-19 03:34 |
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Typeset the Manuscript |
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2024-05-27 07:25 |
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Publish the Manuscript Online |
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2024-06-14 09:10 |
| ISSN |
2222-0682 (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 |
Ophthalmology |
| Manuscript Type |
Minireviews |
| Article Title |
Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sony Sinha, Prasanna Venkatesh Ramesh, Prateek Nishant, Arvind Kumar Morya and Ripunjay Prasad |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Arvind Kumar Morya, MBBS, MNAMS, Additional Professor, Teacher, Department of Ophthalmology, All India Institute of Medical Sciences, Bibi Nagar
, Hyderabad 508126, Telangana, India. bulbul.morya@gmail.com |
| Key Words |
Conjunctival neoplasm; Early detection of cancer; Machine learning; Deep neural network; Precision medicine |
| Core Tip |
This is a unique comprehensive review written on a common eye tumour-ocular surface squamous neoplasia (OSSN) and the role of artificial intelligence (AI) in the early diagnosis and management of this ocular condition. This write-up also covers the various intricacies involved in developing the AI algorithms based on digital and histopathological images of OSSN. |
| Publish Date |
2024-06-14 09:10 |
| Citation |
Sinha S, Ramesh PV, Nishant P, Morya AK, Prasad R. Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence. World J Methodol 2024; 14(2): 92267 |
| URL |
https://www.wjgnet.com/2222-0682/full/v14/i2/92267.htm |
| DOI |
https://dx.doi.org/10.5662/wjm.v14.i2.92267 |
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