Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia

•A deep learning model, the deep canonically correlated sparse autoencoder model, is proposed for schizophrenia classification.•The deep learning model, with complex nonlinear transformation and sparsity, outperforms classical models.•Important and abstract features are extracted.•Classification res...

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Bibliographic Details

Published in:	Computer methods and programs in biomedicine Vol. 183; p. 105073
Main Authors:	Li, Gang, Han, Depeng, Wang, Chao, Hu, Wenxing, Calhoun, Vince D., Wang, Yu-Ping
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2020
Subjects:	Canonical correlation analysis Deep canonically correlated sparse autoencoder Imaging-genetic associations Schizophrenia classification Sparse autoencoder Imaging-genetic associations Sparse autoencoder Canonical correlation analysis Deep canonically correlated sparse autoencoder Schizophrenia classification
ISSN:	0169-2607, 1872-7565, 1872-7565
Online Access:	Get full text
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