Atlas-based segmentation of brain MR images using least square support vector machines

2010 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010

Volumn , Issue , 2010, Pages 306-310

  Kasiri, Keyvan ^a   Kazemi, Kamran ^a,b   Dehghani, Mohammad Javad ^a   Helfroush, Mohammad Sadegh ^a  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITÉ DE PICARDIE JULES VERNE   (France)

Author keywords

Atlas; Automated segmentation; Least square support vector machine (LS SVM); Magnetic resonance imaging (MRI); Support vector machine (SVM)

Indexed keywords

ATLAS; ATLAS-BASED SEGMENTATION; AUTOMATED SEGMENTATION; AUTOMATIC MODELS; BRAIN MR; BRAIN SEGMENTATION; BRAIN TISSUE; CEREBRO SPINAL FLUIDS; CLASS PROBABILITIES; EXCELLENT PERFORMANCE; GREY MATTERS; ITERATIVE PROCEDURES; LEAST SQUARE SUPPORT VECTOR MACHINES; LEAST SQUARES; PRIORI INFORMATION; PROBABILISTIC MAPS; SUPERVISED MACHINE LEARNING; SUPPORT VECTOR MACHINE (SVM); WHITE MATTER;

BRAIN; GEARS; HISTOLOGY; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAGNETIC RESONANCE IMAGING; RESONANCE; TISSUE; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 78049502690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPTA.2010.5586779     Document Type: Conference Paper

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