Automatic segmentation of MR brain images using spatial-varying Gaussian mixture and Markov Random field approach

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2006, Issue , 2006, Pages

  Peng, Zhigang ^a   Wee, William ^b   Lee, Jing Huei ^c  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b 705 Engineering Research Center   (United States)

^c UNIVERSITY OF CINCINNATI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPECTATION MAXIMIZATION (EM) ALGORITHM; ITERATED CONDITIONAL MODES (ICM) ALGORITHM; MODIFIED K-MEAN (MKM) ALGORITHM; SPATIAL VARYING GAUSSIAN MIXTURE (SVGM);

ALGORITHMS; BRAIN; CLASSIFICATION (OF INFORMATION); GAUSSIAN NOISE (ELECTRONIC); MAGNETIC RESONANCE; MARKOV PROCESSES; PROBABILITY; TISSUE;

IMAGE SEGMENTATION;

EID: 33845547400     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2006.38     Document Type: Conference Paper

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