Multi-scale feature extraction for learning-based classification of coronary artery stenosis

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7260, Issue , 2009, Pages

  Teßmann, Matthias ^a   Vega Higuera, Fernando ^b   Fritz, Dominik ^b   Scheuering, Michael ^b   Greiner, Günther ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

CAD development; Cardiovascular; General methodology

Indexed keywords

ADABOOST ALGORITHM; AUTOMATIC DETECTION; CAD DEVELOPMENT; CARDIAC-COMPUTED TOMOGRAPHY; CARDIO-VASCULAR DISEASE; CARDIOVASCULAR; CENTERLINES; CLASSIFICATION FUNCTIONS; CLINICAL EXPERIENCE; COMPUTED TOMOGRAPHY; CORONARY ARTERY STENOSIS; GENERAL METHODOLOGY; HIGH SENSITIVITY; LARGE DATABASE; MULTI-SCALE APPROACHES; MULTI-SCALE FEATURES; MULTIPLE SCALE; PATTERN RECOGNITION ALGORITHMS; TIME-CONSUMING TASKS;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; EDUCATION; FEATURE EXTRACTION; MEDICAL IMAGING; SULFUR COMPOUNDS; TOMOGRAPHY;

COMPUTER AIDED DIAGNOSIS;

EID: 66749107472     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811639     Document Type: Conference Paper

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