Segmentation of ventricles in brain CT images using gaussian mixture model method

2009 ICME International Conference on Complex Medical Engineering, CME 2009

Volumn , Issue , 2009, Pages

  Chen, Wenan ^a   Najarian, Kayvan ^a,b  

^a Virginia Commonwealth University   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED DETECTION; BRAIN TISSUE; CT IMAGE; DATA SETS; EXPECTATION-MAXIMIZATION METHOD; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; ITERATED CONDITIONAL MODES; K-MEANS CLUSTERING; REGION OF INTEREST; SEGMENTATION METHODS; SEGMENTATION RESULTS; SEGMENTED REGIONS; TEMPLATE MATCH;

BIOMEDICAL ENGINEERING; BRAIN; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL COMPLEXITY; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; MAGNETOSTRICTIVE DEVICES; MIXTURES; OBJECT RECOGNITION; TEMPLATE MATCHING;

IMAGE MATCHING;

EID: 67650648714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCME.2009.4906676     Document Type: Conference Paper

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