Brain lesion classification using 3T MRS spectra and paired SVM kernels

Biomedical Signal Processing and Control

Volumn 6, Issue 3, 2011, Pages 314-320

  Dimou, Ioannis ^a   Tsougos, Ioannis ^b   Tsolaki, Evaggelia ^b   Kousi, Evanthia ^b   Kapsalaki, Eftychia ^b   Theodorou, Kyriaki ^b   Kounelakis, Michalis ^a   Zervakis, Michalis ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b UNIVERSITY OF THESSALY   (Greece)

Author keywords

Automatic brain tumour classification; Decision support systems; Magnetic resonance spectroscopy; Medical decision making

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; DIAGNOSIS; MAGNETIC FIELD EFFECTS; MAGNETIC RESONANCE SPECTROSCOPY; METABOLITES; NONINVASIVE MEDICAL PROCEDURES; SUPPORT VECTOR MACHINES;

BRAIN TUMOURS; COMPUTED-AIDED DIAGNOSIS; LESION CLASSIFICATION; MAGNETIC FIELD HOMOGENEITY; MAGNETIC RESONANCE SCANNERS; MEDICAL DECISION MAKING; MULTI-CLASS CLASSIFICATION; NON-INVASIVE DIAGNOSTICS;

MAGNETIC RESONANCE;

ADOLESCENT; ADULT; AGED; BRAIN CYST; BRAIN DAMAGE; BRAIN METASTASIS; CHILD; COMPUTER AIDED DESIGN; CONFERENCE PAPER; DIAGNOSTIC TEST; DISEASE CLASSIFICATION; GLIOMA; HUMAN; KERNEL METHOD; MAJOR CLINICAL STUDY; MENINGIOMA; METABOLIC PARAMETERS; MULTIPLE SCLEROSIS; NEUROIMAGING; PRIORITY JOURNAL; SCHOOL CHILD;

EID: 79959934424     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2011.01.001     Document Type: Conference Paper

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