MR brain image segmentation using a multi-seed based automatic clustering technique

Fundamenta Informaticae

Volumn 97, Issue 1-2, 2009, Pages 199-214

  Saha, Sriparna ^a   Bandyopadhyay, Sanghamitra ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Cluster validity indices; Clustering; Magnetic resonance image; Multi seed; Symmetry

Indexed keywords

AUTOMATIC CLUSTERING TECHNIQUES; AUTOMATIC SEGMENTATIONS; BRAIN IMAGES; CLUSTER VALIDITY INDICES; CLUSTERING; CLUSTERING PROBLEMS; CLUSTERING TECHNIQUES; DATA SETS; DISTANCE-BASED; EXPECTATION MAXIMIZATION; FUZZY C MEAN; GROUND TRUTH; HYPERSPHERICAL; MAGNETIC RESONANCE IMAGES; MR BRAIN IMAGE SEGMENTATION; MULTI-SPECTRAL; MULTIOBJECTIVE CLUSTERING; NUMBER OF CLUSTERS; OBJECTIVE FUNCTIONS; POINT SYMMETRY; PROTON DENSITY; REAL-CODED; SUB-CLUSTERS; VARIABLE NUMBER; VARIABLE STRING LENGTH;

CLUSTER ANALYSIS; FUNCTION EVALUATION; FUZZY CLUSTERING; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; REAL VARIABLES; SEED;

CLUSTERING ALGORITHMS;

EID: 77049104541     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2009-197     Document Type: Article

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