CNN and swin-transformer based efficient model for Alzheimer’s disease diagnosis with sMRI

•Extracting features by combining CNN and swin-transformer.•Lightweight method didn’t degenerate the model with our 2.5D and 2-stream method.•Performance is close to previous 3D methods by only using 2D algorithms.•Only sMRI images are used as input data. Alzheimer's disease (AD) is a primary c...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Biomedical signal processing and control Jg. 86; S. 105189
Hauptverfasser:	Xin, Jiaming, Wang, Ancong, Guo, Rui, Liu, Weifeng, Tang, Xiaoying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2023
Schlagworte:	Alzheimer’s disease Computational complexity Deep learning Image classification Magnetic resonance imaging Deep learning Alzheimer’s disease Magnetic resonance imaging Computational complexity Image classification
ISSN:	1746-8094, 1746-8108
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!