A fast and noise-adaptive rough-fuzzy hybrid algorithm for medical image segmentation

Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010

Volumn , Issue , 2010, Pages 416-421

  Srivastava, Arpit ^a   Asati, Abhinav ^a   Bhattacharya, Mahua ^b  

^a MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b ABV INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

Author keywords

Clustering; Fuzzy C means; Image segmentation; Medical images; Rough sets

Indexed keywords

ADAPTIVE SEGMENTATION; BRAIN MR; CLINICAL ANALYSIS; CLUSTERING; CLUSTERING PROCESS; CT-SCAN IMAGES; FUZZY C MEAN; FUZZY C-MEANS; FUZZY C-MEANS MODELS; HYBRID ALGORITHMS; HYBRID CLUSTERING ALGORITHM; LOWER AND UPPER APPROXIMATIONS; MEDICAL IMAGE SEGMENTATION; MEDICAL IMAGES; NEIGHBOURHOOD; ROUGH SET; SEGMENTATION PROCESS; SPATIAL FILTERS; SPEED-UPS; SUPPRESSION MECHANISM;

BIOINFORMATICS; CLUSTER ANALYSIS; COMPUTERIZED TOMOGRAPHY; FUZZY CLUSTERING; FUZZY SETS; FUZZY SYSTEMS; IMAGE SEGMENTATION; MEDICAL IMAGING; ROUGH SET THEORY;

CLUSTERING ALGORITHMS;

EID: 79952388694     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2010.5706602     Document Type: Conference Paper

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