Computer-aided detection of pulmonary pathology in pediatric chest radiographs

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 619-625

  Mouton, André ^a   Pitcher, Richard D ^b   Douglas, Tania S ^a  

^a UNIVERSITY OF CAPE TOWN   (South Africa)

^b STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

chest radiograph; classification; computer aided diagnosis; pulmonary abnormality; tuberculosis

Indexed keywords

ANTERIOR POSTERIORS; CHEST IMAGE; CHEST RADIOGRAPHS; CHEST X-RAY IMAGE; CLASSIFICATION; CLASSIFICATION RESULTS; COMPUTER-AIDED DETECTION; FEATURE EXTRACTION AND CLASSIFICATION; LUNG FIELD SEGMENTATION; LUNG FIELDS; PROBABILITY MAPS; PULMONARY ABNORMALITY; TUBERCULOSIS; VISUAL TOOLS; X RAY MACHINE;

BIOLOGICAL ORGANS; DISEASES; FEATURE EXTRACTION; MAMMOGRAPHY; MEDICAL COMPUTING; MEDICAL IMAGING; PATHOLOGY; PEDIATRICS; RADIOGRAPHY;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CHILD; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE QUALITY; LUNG; LUNG TUBERCULOSIS; MALE; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

ALGORITHMS; CHILD; FEMALE; HUMANS; LUNG; MALE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TUBERCULOSIS, PULMONARY;

EID: 84882635639     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_77     Document Type: Conference Paper

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