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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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 183; S. 105073
Hauptverfasser:	Li, Gang, Han, Depeng, Wang, Chao, Hu, Wenxing, Calhoun, Vince D., Wang, Yu-Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2020
Schlagworte:	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-Zugang:	Volltext
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