Carotid artery segmentation using an outlier immune 3D active shape models framework

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4190 LNCS - I, Issue , 2006, Pages 620-627

  Lekadir, Karim ^a   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CURVE FITTING; FEATURE EXTRACTION; IMAGE ANALYSIS; IMMUNOLOGY; MATHEMATICAL MODELS; TRANSLATION (LANGUAGES);

CAROTID ARTERY; OUTLIER HANDLING TECHNIQUES; VOLUMETRIC SEGMENTATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CAROTID ARTERY DISEASE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CORONARY BLOOD VESSEL; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; CAROTID ARTERY DISEASES; COMPUTER SIMULATION; CORONARY VESSELS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33750280829     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_76     Document Type: Conference Paper

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