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6/30/2025 9:44:57 AM | Browse: 6 | Download: 0
Publication Name World Journal of Psychiatry
Manuscript ID 108359
Country Türkiye
Category Computer Science, Artificial Intelligence
Manuscript Type Observational Study
Article Title Self-AttentionNeXt: Exploring schizophrenic optical coherence tomography image detection investigations
Manuscript Source Invited Manuscript
All Author List Mehmet Kaan Kaya, Sermal Arslan, Suheda Kaya, Gulay Tasci, Burak Tasci, Filiz Ozsoy, Sengul Dogan and Turker Tuncer
Funding Agency and Grant Number
Corresponding Author Sengul Dogan, Professor, Department of Digital Forensics Engineering, College of Technology, Firat University, University district, Elazig 23119, Türkiye. sdogan@firat.edu.tr
Key Words Self-AttentionNeXt; Optical coherence tomography image classification; Schizophrenia detection; Biomedical image classification; Deep learning in ophthalmology; Retinal imaging biomarkers
Core Tip This study presents Self-AttentionNeXt, a novel deep learning architecture that integrates self-attention mechanisms from transformer models with convolutional neural networks for the classification of optical coherence tomography images. By focusing on retinal image regions most relevant to schizophrenia, the model achieves high diagnostic accuracy. The integration of inverted bottleneck attention blocks and residual connections enhances both feature representation and training stability. Self-AttentionNeXt demonstrates that combining attention mechanisms with convolutional neural networks can offer a powerful tool for supporting ophthalmic evaluation in patients with schizophrenia.
Citation Kaya MK, Arslan S, Kaya S, Tasci G, Tasci B, Ozsoy F, Dogan S, Tuncer T. Self-AttentionNeXt: Exploring schizophrenic optical coherence tomography image detection investigations. World J Psychiatry 2025; In press
Received
2025-04-13 11:50
Peer-Review Started
2025-04-21 00:19
To Make the First Decision
Return for Revision
2025-05-12 02:25
Revised
2025-05-16 08:36
Second Decision
2025-06-23 11:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-06-30 09:44
Articles in Press
2025-06-30 09:44
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2220-3206 (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/
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