Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images

Deep-learning methods (especially convolutional neural networks) using structural magnetic resonance imaging (sMRI) data have been successfully applied to computer-aided diagnosis (CAD) of Alzheimer's disease (AD) and its prodromal stage [i.e., mild cognitive impairment (MCI)]. As it is practic...

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Veröffentlicht in:	IEEE transactions on cybernetics 2022-04, Vol.52 (4), p.1992-2003
Hauptverfasser:	Lian, Chunfeng, Liu, Mingxia, Pan, Yongsheng, Shen, Dinggang
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Alzheimer Disease - diagnostic imaging Alzheimer's disease Alzheimer’s disease (AD) Artificial neural networks Attention Brain Brain - diagnostic imaging Brain modeling Cognitive Dysfunction - diagnostic imaging convolutional neural networks (CNNs) Deep learning Dementia Diagnosis Feature extraction Humans Localization Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical diagnosis multilevel feature learning Neuroimaging - methods Solid modeling structural MRI Task analysis weakly supervised localization
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