A brain tissue segmentation approach integrating fuzzy information into level set method

Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008

Volumn , Issue , 2008, Pages 1216-1221

  Chen, Zhibin ^a,b,c   Qiu, Tianshuang ^a   Su, Ruan ^c  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY LIAONING   (China)

^c UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

Author keywords

Brain magnetic resonance images; Fuzzy c means; Level Se method; Segmentation

Indexed keywords

BINARY PROCESSING; BRAIN MR; BRAIN TISSUE SEGMENTATIONS; BRAIN TISSUES; FUZZY C-MEANS; FUZZY INFORMATIONS; LEVEL SE METHOD; LEVEL SET METHODS; LEVEL SET TECHNIQUES; MR IMAGES; NEW ALGORITHMS; NUMBER OF ITERATIONS; PARAMETER SETTINGS; QUALITATIVE ANALYSES; SEGMENTATION; SEGMENTATION APPROACHES; SEGMENTATION RESULTS; SIMULATED EXPERIMENTS; STATISTICAL ANALYSIS;

BRAIN; CONVERGENCE OF NUMERICAL METHODS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; LEVEL MEASUREMENT; MAGNETIC RESONANCE IMAGING; QUALITY CONTROL; RESONANCE;

ALGORITHMS;

EID: 56449123644     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2008.4636337     Document Type: Conference Paper

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