A Multi-Stream Convolutional Neural Network for Classification of Progressive MCI in Alzheimer's Disease Using Structural MRI Images

Early diagnosis of Alzheimer's disease and its prodromal stage, also known as mild cognitive impairment (MCI), is critical since some patients with progressive MCI will develop the disease. We propose a multi-stream deep convolutional neural network fed with patch-based imaging data to classify...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics Jg. 26; H. 8; S. 3918 - 3926
Hauptverfasser:	Ashtari-Majlan, Mona, Seifi, Abbas, Dehshibi, Mohammad Mahdi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Alzheimer's disease Artificial neural networks Brain modeling brain-shaped map Classification Cognitive ability convolutional neural network Convolutional neural networks Diseases Feature extraction Image classification Magnetic resonance imaging Medical imaging multivariate statistical test Neural networks Neurodegenerative diseases Statistical tests Transfer learning
ISSN:	2168-2194, 2168-2208, 2168-2208
Online-Zugang:	Volltext
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