Generalized rough fuzzy c-means algorithm for brain MR image segmentation

Computer Methods and Programs in Biomedicine

Volumn 108, Issue 2, 2012, Pages 644-655

  Ji, Zexuan ^a,b   Sun, Quansen ^a   Xia, Yong ^b,c   Chen, Qiang ^a   Xia, Deshen ^a   Feng, Dagan ^b,d,e  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF SYDNEY   (Australia)

^c NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^d HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^e SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Brain magnetic resonance image; Fuzzy c means algorithm; Image segmentation; Intensity inhomogeneity; Rough set; Rough fuzzy c means algorithm

Indexed keywords

BRAIN MAGNETIC RESONANCE IMAGES; C-MEANS ALGORITHMS; FUZZY C-MEANS ALGORITHMS; INTENSITY INHOMOGENEITY; ROUGH SET;

COPYING; FUZZY CLUSTERING; IMAGE SEGMENTATION; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGE PROCESSING; PARAMETER ESTIMATION; ROUGH SET THEORY;

CLUSTERING ALGORITHMS;

ACCURACY; ALGORITHM; ARTICLE; BRAIN SIZE; BRAIN TISSUE; CEREBROSPINAL FLUID; FUZZY SYSTEM; GENERALIZED ROUGH FUZZY C MEANS ALGORITHM; GRAY MATTER; IMAGE PROCESSING; MACHINE LEARNING; NEUROIMAGING; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; ROUGH SET; THICKNESS; WHITE MATTER;

ALGORITHMS; BRAIN; FUZZY LOGIC; HUMANS; MAGNETIC RESONANCE IMAGING;

EID: 84867398356     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.10.010     Document Type: Article

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