Segmentation of M-FISH images for improved classification of chromosomes with an adaptive fuzzy C-means clustering algorithm

IEEE Transactions on Fuzzy Systems

Volumn 20, Issue 1, 2012, Pages 1-8

  Cao, Hongbao ^a   Deng, Hong Wen ^b   Wang, Yu Ping ^a,c  

^a Tulane University   (United States)

^b TULANE UNIVERSITY   (United States)

^c SHANGHAI UNIVERSITY   (China)

Author keywords

Adaptive fuzzy c means (AFCM) clustering; background correction; image segmentation; multicolor fluorescence in situ hybridization (M FISH) image classification

Indexed keywords

ADAPTIVE FUZZY C-MEANS; BACKGROUND CORRECTION; CHROMOSOMAL ABNORMALITIES; CLASSIFICATION ALGORITHM; CLASSIFICATION ERRORS; FUZZY C-MEANS ALGORITHMS; GENETIC DISEASE; INHOMOGENEITIES; MULTI-COLOR FLUORESCENCE IN SITU HYBRIDIZATIONS; REGION-BASED SEGMENTATION;

CHROMOSOMES; COPYING; DIAGNOSIS; DISEASES; FISH; FLUORESCENCE MICROSCOPY; FUZZY CLUSTERING; IMAGE SEGMENTATION;

CLUSTERING ALGORITHMS;

EID: 84863145869     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2011.2160025     Document Type: Article

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