Identification of paediatric tuberculosis from airway shape features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 133-140

  Irving, Benjamin ^a   Goussard, Pierre ^b   Gie, Robert ^b   Todd Pokropek, Andrew ^a   Taylor, Paul ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

AIRWAY SURFACES; CLINICAL SIGNS; COMPUTER ASSISTED DETECTION; CROSS VALIDATION; CT IMAGE; DATA SETS; ORIENTATION FEATURES; PCA MODE; PRINCIPAL COMPONENTS; PULMONARY TUBERCULOSIS; SHAPE DEFORMATION; SHAPE FEATURES; SUPPORT VECTOR CLASSIFIERS;

COMPUTER GRAPHICS; DEFORMATION; DISEASES; MEDICAL COMPUTING; PATHOLOGY; PEDIATRICS;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATION; BRONCHUS; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; HUMAN; INFANT; LUNG; LUNG TUBERCULOSIS; METHODOLOGY; PATHOLOGY; PRESCHOOL CHILD; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; AUTOMATION; BRONCHI; CHILD, PRESCHOOL; DIAGNOSTIC IMAGING; HUMANS; INFANT; LUNG; MODELS, ANATOMIC; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; TUBERCULOSIS, PULMONARY;

EID: 82255183328     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_17     Document Type: Conference Paper

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