Effective fuzzy c-means based kernel function in segmenting medical images

Computers in Biology and Medicine

Volumn 40, Issue 6, 2010, Pages 572-579

  Kannan, S R ^a,b   Ramathilagam, S ^a   Sathya, A ^b   Pandiyarajan, R ^b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b GANDHIGRAM RURAL UNIVERSITY   (India)

Author keywords

Center knowledge; Clustering; Fuzzy c means; Image segmentation; Kernel function; MR imaging

Indexed keywords

BRAIN IMAGES; BRAIN MAGNETIC RESONANCE IMAGES; CENTER KNOWLEDGE; CLUSTER CENTERS; CLUSTERING RESULTS; DATA OBJECTS; DATA SETS; DISTANCE MEASURE; EFFECTIVE EQUATIONS; FUZZY C MEAN; FUZZY C-MEANS METHODS; IMAGING ARTIFACTS; INITIALIZATION METHODS; KERNEL FUNCTION; MEDICAL IMAGE SEGMENTATION; MEDICAL IMAGES; MEMBERSHIP GRADE; MR IMAGING; OBJECTIVE FUNCTIONS; ROBUST FUZZY; STANDARD OBJECTIVE FUNCTION;

CLUSTERING ALGORITHMS; DIGITAL IMAGE STORAGE; FUZZY CLUSTERING; FUZZY SYSTEMS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; MEDICAL PROBLEMS; OPTIMIZATION; RESONANCE;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; BREAST; CLUSTER ANALYSIS; DATA ANALYSIS; FUZZY SYSTEM; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MATHEMATICAL MODEL; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; VALIDITY;

ALGORITHMS; ARTIFACTS; BRAIN; BREAST; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATABASES, FACTUAL; FEMALE; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 77953362139     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2010.04.001     Document Type: Article

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