Kernelized fuzzy c-means method in fast segmentation of demyelination plaques in multiple sclerosis

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5616-5619

  Kawa, Jacek ^b   Pietka, Ewa ^a,b  

^a IEEE

^b SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FUZZY CLUSTERING; MEDICAL PROBLEMS; USER INTERFACES;

DEMYELINATION PLAQUES; FUZZY C-MEANS METHOD (FCM); FUZZY DATA PROCESSING; MULTIPLE SCLEROSIS (MS);

HOSPITAL DATA PROCESSING;

ALGORITHM; AMYLOID PLAQUE; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; EXPERT SYSTEM; FUZZY LOGIC; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIPLE SCLEROSIS; MYELINATED NERVE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; EXPERT SYSTEMS; FUZZY LOGIC; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; PLAQUE, AMYLOID; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 57649193141     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353620     Document Type: Conference Paper

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