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Volumn 5762 LNCS, Issue PART 2, 2009, Pages 707-714
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Automated anatomical labeling of bronchial branches extracted from CT datasets based on machine learning and combination optimization and its application to bronchoscope guidance
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Author keywords
[No Author keywords available]
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Indexed keywords
ADABOOST;
ANATOMICAL LABELING;
COMBINATION OPTIMIZATION;
CT IMAGE;
DATA SETS;
GUIDANCE SYSTEM;
MACHINE-LEARNING;
ON-MACHINES;
TREE STRUCTURES;
ADAPTIVE BOOSTING;
AUTOMATION;
CLASSIFIERS;
ENDOSCOPY;
IMAGE PROCESSING;
LABELING;
LEARNING SYSTEMS;
MEDICAL COMPUTING;
OPTIMIZATION;
THREE DIMENSIONAL;
TREES (MATHEMATICS);
COMPUTERIZED TOMOGRAPHY;
ANATOMY;
AUTOMATION;
CLASSIFIERS;
IMAGES;
LABELING;
MATHEMATICS;
OPTIMIZATION;
THREE DIMENSIONAL DESIGN;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
BRONCHOGRAPHY;
BRONCHOSCOPY;
COMPUTER ASSISTED DIAGNOSIS;
COMPUTER ASSISTED SURGERY;
COMPUTER ASSISTED TOMOGRAPHY;
HUMAN;
IMAGE QUALITY;
METHODOLOGY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
BRONCHOGRAPHY;
BRONCHOSCOPY;
HUMANS;
PATTERN RECOGNITION, AUTOMATED;
RADIOGRAPHIC IMAGE ENHANCEMENT;
RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
SURGERY, COMPUTER-ASSISTED;
TOMOGRAPHY, X-RAY COMPUTED;
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EID: 79961209452
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-642-04271-3_86 Document Type: Conference Paper |
Times cited : (23)
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References (8)
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