Classification of 3T MRS spectra using support vector machines

Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009

Volumn , Issue , 2009, Pages

  Dimou, I N ^a   Tsougos, L ^b   Tsolaki, E ^b   Theodorou, K ^b   Zervakis, M ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b UNIVERSITY OF THESSALY   (Greece)

Author keywords

3T; Automatic relevance determination; Classification; Magnetic resonance spectroscopy; Support vector machines

Indexed keywords

3T; AUTOMATIC RELEVANCE DETERMINATION; BRAIN TUMORS; DIAGNOSTIC PROCESS; HUMAN EXPERT; MAGNETIC FIELD HOMOGENEITY; MEASUREMENT NOISE; MR SCANNERS; NON-INVASIVE DIAGNOSTICS; NONLINEAR PATTERN; RESOLUTION CAPABILITY; SENSOR CALIBRATION; SOFT TISSUE;

GEARS; INFORMATION TECHNOLOGY; MAGNETIC FIELD EFFECTS; MAGNETIC RESONANCE; MAGNETIC RESONANCE SPECTROSCOPY; MULTILAYER NEURAL NETWORKS; PARTICLE DETECTORS; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 77949584468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2009.5394304     Document Type: Conference Paper

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