Left ventricle segmentation using diffusion wavelets and boosting

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 919-926

  Essafi, Salma ^a,b   Langs, Georg ^c   Paragios, Nikos ^a,b  

^a Ecole Centrale de Paris   (France)

^b INRIA SACLAY   (France)

^c MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY TOPOLOGY; CT DATA; DATA SETS; HIGH-DIMENSIONAL; LEFT VENTRICLES; LOCAL FEATURE; MANIFOLD LEARNING; MEDICAL IMAGES; SEARCH SCHEME; SEARCH SPACES; SHAPE MODEL; TRAINING DATA; VISUAL CONSISTENCY;

CLASSIFICATION (OF INFORMATION); COMPUTERIZED TOMOGRAPHY; DIFFUSION; FEATURE EXTRACTION; MEDICAL COMPUTING; WAVELET ANALYSIS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; HEART VENTRICLE; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HEART VENTRICLES; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, CARDIOVASCULAR; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84865529766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_111     Document Type: Conference Paper

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