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Volumn 5636 LNCS, Issue , 2009, Pages 411-422
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Marginal space learning for efficient detection of 2D/3D anatomical structures in medical images
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Author keywords
[No Author keywords available]
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Indexed keywords
2D OBJECTS;
3D OBJECT;
ANATOMICAL STRUCTURES;
AUTOMATIC DETECTION;
CT VOLUME;
EFFICIENT DETECTION;
GENERIC APPROACH;
LARGE DEFORMATIONS;
LARGE OBJECTS;
LEFT VENTRICLES;
LIVER DETECTION;
LOCALIZATION ACCURACY;
MARGINAL SPACE LEARNING;
MEDICAL IMAGES;
MRI IMAGE;
NON-RIGID DEFORMATION;
NON-RIGID OBJECTS;
NOVEL TECHNIQUES;
POSE PARAMETERS;
REAL APPLICATIONS;
RIGID TRANSFORMATIONS;
SPEED-UPS;
STRONG CORRELATION;
DATA PROCESSING;
DEFORMATION;
LIVER;
THREE DIMENSIONAL;
MEDICAL IMAGING;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
COMPUTER ASSISTED DIAGNOSIS;
EVALUATION;
IMAGE ENHANCEMENT;
METHODOLOGY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
THREE DIMENSIONAL IMAGING;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
IMAGE ENHANCEMENT;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
IMAGING, THREE-DIMENSIONAL;
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
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EID: 70349307215
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-642-02498-6_34 Document Type: Conference Paper |
Times cited : (47)
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References (11)
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