A simple self-supervised learning framework with patch-based data augmentation in diagnosis of Alzheimer’s disease

Alzheimer’s disease (AD) stands as a prominent age-related disorder with significant global impact. Utilizing computer-aided diagnosis aids in the timely identification of mild cognitive impairment, facilitating early intervention and management. Self-supervised learning models have attracted much a...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 96; S. 106572
Hauptverfasser:	Gong, Haoqiang, Wang, Zhiwen, Huang, Shuaihui, Wang, Jinfeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2024
Schlagworte:	Alzheimer’s disease Attention mechanism Data augmentation MRI brain patch Self-supervised learning Attention mechanism Data augmentation Alzheimer’s disease Self-supervised learning MRI brain patch
ISSN:	1746-8094
Online-Zugang:	Volltext
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