DAMNet: Dynamic mobile architectures for Alzheimer's disease

Alzheimer's disease (AD) presents a significant challenge in healthcare, highlighting the necessity for early and precise diagnostic tools. Our model, DAMNet, processes multi-dimensional AD data effectively, utilizing only 7.4 million parameters to achieve diagnostic accuracies of 98.3 % in val...

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Veröffentlicht in:	Computers in biology and medicine 2025-02, Vol.185, p.109517, Article 109517
Hauptverfasser:	Zhou, Meihua, Zheng, Tianlong, Wu, Zhihua, Wan, Nan, Cheng, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	2D and 3D imaging Accuracy Alzheimer Disease - diagnostic imaging Alzheimer's disease DAMNet Data management Datasets Deep learning Efficiency Humans Imaging, Three-Dimensional - methods Innovations Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Mobile Applications Neurodegenerative diseases Neuroimaging Parallel intelligence Three dimensional imaging
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