SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia

Schizophrenia (SZ) is a severe and prolonged disorder of the human brain where people interpret reality in an abnormal way. Traditional methods of SZ detection are based on handcrafted feature extraction methods (manual process), which are tedious and unsophisticated, and also limited in their abili...

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Veröffentlicht in:	Computational intelligence and neuroscience 2022-09, Vol.2022, p.1992596-13
Hauptverfasser:	Siuly, Siuly, Li, Yan, Wen, Peng, Alcin, Omer Faruk
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Classification Classifiers Data processing Deep learning Discriminant analysis EEG Electroencephalography Electroencephalography - methods Feature extraction Human error Humans Machine Learning Mental disorders Schizophrenia Schizophrenia - diagnosis Signal Processing, Computer-Assisted Signal to noise ratio Support Vector Machine Support vector machines Tomography
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