Combining various types of classifiers and features extracted from magnetic resonance imaging data in schizophrenia recognition

Psychiatry Research - Neuroimaging

Volumn 232, Issue 3, 2015, Pages 237-249

  Janousova, Eva ^a   Schwarz, Daniel ^a   Kasparek, Tomas ^a,b  

^a MASARYK UNIVERSITY   (Czech Republic)

^b UNIVERSITY HOSPITAL BRNO   (Czech Republic)

Author keywords

Average linkage; Centroid method; Classification; Computational neuroanatomy; Intersubject principal component analysis (isPCA); Modified maximum uncertainty linear discriminant analysis (mMLDA)

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BASAL GANGLION; BRAIN STEM; CLINICAL ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; GRAY MATTER; HUMAN; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SCHIZOPHRENIA; UNCERTAINTY; ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; PROCEDURES; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84929505685     PISSN: 09254927     EISSN: 18727506     Source Type: Journal    
DOI: 10.1016/j.pscychresns.2015.03.004     Document Type: Article

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