Automatic segmentation of corpus collasum using Gaussian mixture modeling and Fuzzy C means methods

Computer Methods and Programs in Biomedicine

Volumn 112, Issue 1, 2013, Pages 38-46

  Içer, Semra ^a  

^a ERCIYES UNIVERSITY   (Turkey)

Author keywords

Corpus collasum; Fuzzy C means; Gaussian mixture modeling; Image segmentation

Indexed keywords

AUTOMATIC SEGMENTATIONS; CORPUS COLLASUM; FUZZY C MEAN; FUZZY C MEANS METHOD; GAUSSIAN MIXTURE MODEL; QUANTITATIVE COMPARISON; SEGMENTATION ACCURACY; STATISTICAL DECISION;

DIAGNOSIS;

IMAGE SEGMENTATION;

ARTICLE; AUTOMATION; BIOINFORMATICS; CONTROLLED STUDY; CORPUS CALLOSUM; FUZZY SYSTEM; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; KERNEL METHOD; NEUROIMAGING; NOISE; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE SCANNER; PATTERN RECOGNITION; THICKNESS;

CORPUS COLLASUM; FUZZY C MEANS; GAUSSIAN MIXTURE MODELING; IMAGE SEGMENTATION;

ALGORITHMS; COMPUTER SIMULATION; CORPUS CALLOSUM; FUZZY LOGIC; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NEUROIMAGING; NORMAL DISTRIBUTION;

EID: 84883792037     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.06.006     Document Type: Article

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