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Volumn 5762 LNCS, Issue PART 2, 2009, Pages 724-731
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Global and local multi-valued dissimilarity-based classification: Application to computer-aided detection of tuberculosis
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Author keywords
[No Author keywords available]
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Indexed keywords
AFFECTED AREA;
AREA UNDER THE ROC CURVE;
CAD SYSTEM;
CHEST RADIOGRAPHS;
CLASSIFICATION RESULTS;
COMPUTER-AIDED DETECTION;
DISSIMILARITY MEASURES;
IMAGE FEATURES;
LABELED DATA;
LARGE DATABASE;
SCREENING PROGRAMS;
COMPUTER AIDED DESIGN;
RADIOGRAPHY;
TERBIUM ALLOYS;
MEDICAL COMPUTING;
ALGORITHM;
ARTICLE;
AUTOMATED PATTERN RECOGNITION;
COMPUTER ASSISTED DIAGNOSIS;
HUMAN;
IMAGE QUALITY;
LUNG;
METHODOLOGY;
RADIOGRAPHY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
THORAX RADIOGRAPHY;
TUBERCULOSIS;
ALGORITHMS;
HUMANS;
LUNG;
PATTERN RECOGNITION, AUTOMATED;
RADIOGRAPHIC IMAGE ENHANCEMENT;
RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;
RADIOGRAPHY, THORACIC;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
TUBERCULOSIS;
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EID: 77952253563
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-642-04271-3_88 Document Type: Conference Paper |
Times cited : (22)
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References (6)
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