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Volumn 3749 LNCS, Issue , 2005, Pages 262-269
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Fully automatic kidneys detection in 2D CT images: A statistical approach
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Author keywords
[No Author keywords available]
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Indexed keywords
COMPUTER AIDED DIAGNOSIS;
COMPUTERIZED TOMOGRAPHY;
IMAGE RETRIEVAL;
MATHEMATICAL MODELS;
MEDICAL IMAGING;
STATISTICAL METHODS;
CLINICAL TRAINING;
KIDNEYS;
MEDICAL IMAGE RETRIEVAL;
BIOLOGICAL ORGANS;
ADULT;
AGED;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
BIOLOGICAL MODEL;
CLUSTER ANALYSIS;
COMPARATIVE STUDY;
COMPUTER ASSISTED DIAGNOSIS;
COMPUTER ASSISTED TOMOGRAPHY;
COMPUTER SIMULATION;
EVALUATION;
FEMALE;
HUMAN;
IMAGE ENHANCEMENT;
KIDNEY;
MALE;
METHODOLOGY;
MIDDLE AGED;
RADIOGRAPHY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
STATISTICAL MODEL;
ADULT;
AGED;
AGED, 80 AND OVER;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
CLUSTER ANALYSIS;
COMPUTER SIMULATION;
FEMALE;
HUMANS;
IMAGE ENHANCEMENT;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
KIDNEY;
MALE;
MIDDLE AGED;
MODELS, BIOLOGICAL;
MODELS, STATISTICAL;
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
TOMOGRAPHY, X-RAY COMPUTED;
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EID: 33744821400
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/11566465_33 Document Type: Conference Paper |
Times cited : (9)
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References (8)
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