Automatic classification of segmented MRI data combining independent component analysis and support vector machines

Studies in Health Technology and Informatics

Volumn 207, Issue , 2014, Pages 271-279

  Khedher, Laila ^a   Ramírez, Javier ^a   Górriz, Juan Manuel ^a   Brahim, Abdelbasset ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer's disease; independent component analysis; magnetic resonance imaging; mild cognitive impairment; support vector machine

Indexed keywords

CEREBROSPINAL FLUID; CLASSIFICATION (OF INFORMATION); DISEASE CONTROL; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES; NEUROIMAGING; VECTOR SPACES;

ALZHEIMER'S DISEASE; AUTOMATIC CLASSIFICATION; INDEPENDENT COMPONENT ANALYSES (ICA); MAGNETIC RESONANCE IMAGES (MRI); MILD COGNITIVE IMPAIRMENTS; MILD COGNITIVE IMPAIRMENTS (MCI); PROCESSING STEPS; RELEVANT FEATURES;

SUPPORT VECTOR MACHINES;

CEREBROSPINAL FLUID; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; GRAY MATTER; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; MENTAL DISEASE; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; WHITE MATTER;

AUTOMATIC DATA PROCESSING; CEREBROSPINAL FLUID; DIAGNOSIS, COMPUTER-ASSISTED; GRAY MATTER; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MENTAL DISORDERS; WHITE MATTER;

EID: 84918767430     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-474-9-271     Document Type: Conference Paper

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