Left ventricle segmentation via graph cut distribution matching

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 901-909

  Ben Ayed, Ismail ^a   Punithakumar, Kumaradevan ^a   Li, Shuo ^a   Islam, Ali ^b   Chong, Jaron ^c  

^a GE HEALTHCARE   (Canada)

^b ST JOSEPH S HEALTH CENTRE   (Canada)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOUR METHOD; ACTIVE CONTOURS; CARDIAC MAGNETIC RESONANCE; COMPUTATIONAL ADVANTAGES; DISTANCE-BASED; DISTRIBUTION MATCHING; FIRST-ORDER ANALYSIS; FIRST-ORDER APPROXIMATIONS; GEOMETRIC TRANSFORMATIONS; GRAPH CUT; ITERATIVE UPDATE; KERNEL DENSITY; LEFT VENTRICLE CAVITY; LEFT VENTRICLES; MANUAL SEGMENTATION; QUANTITATIVE EVALUATION; SEGMENTATION ALGORITHMS;

ALGORITHMS; IMAGE SEGMENTATION; MEDICAL COMPUTING; OPTIMIZATION; RESONANCE;

IMAGE MATCHING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HEART VENTRICLE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883849462     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_109     Document Type: Conference Paper

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