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Volumn , Issue , 2008, Pages 5514-5517
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An automatic segmentation approach for boundary delineation of corpus callosum based on cell competition
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Author keywords
[No Author keywords available]
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Indexed keywords
COMPETITION;
DROP BREAKUP;
EDGE DETECTION;
LEVEL MEASUREMENT;
MAGNETIC RESONANCE IMAGING;
MATLAB;
AUTOMATIC SEGMENTATIONS;
BASIC IDEAS;
BOUNDARY DELINEATIONS;
CELL COMPETITIONS;
CONTOUR FUNCTIONS;
CORPUS CALLOSUM;
DIFFUSION TENSOR MAGNETIC RESONANCE IMAGES;
LEVEL SET METHODS;
MORPHOLOGICAL CHANGES;
NEUROLOGICAL DISEASE;
ROUGH BOUNDARIES;
SIZE AND SHAPES;
TENSORS;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
BRAIN VASCULITIS;
COMPUTER ASSISTED DIAGNOSIS;
CORPUS CALLOSUM;
DIFFUSION WEIGHTED IMAGING;
HUMAN;
IMAGE ENHANCEMENT;
METHODOLOGY;
PATHOLOGY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
CORPUS CALLOSUM;
DIFFUSION MAGNETIC RESONANCE IMAGING;
HUMANS;
IMAGE ENHANCEMENT;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
LUPUS VASCULITIS, CENTRAL NERVOUS SYSTEM;
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
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EID: 61849150463
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (8)
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References (7)
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