Computerized detection of diffuse lung disease in MDCT: The usefulness of statistical texture features

Physics in Medicine and Biology

Volumn 54, Issue 22, 2009, Pages 6881-6899

  Wang, Jiahui ^a   Li, Feng ^b   Doi, Kunio ^b   Li, Qiang ^a  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL PATTERNS; CLINICAL TASKS; CO-OCCURRENCE-MATRIX; COMPUTED TOMOGRAPHY; CT IMAGE; CT SCAN; DETECTION SCHEME; DIFFUSE LUNG DISEASE; DISEASE PATTERNS; GROUND-GLASS OPACITY; MATRIX SIZE; MULTI-DETECTORS; PERFORMANCE LEVEL; PHYSICAL MEANINGS; REFERENCE STANDARD; REGIONS OF INTEREST; RULE BASED; RUN LENGTH; TEXTURE FEATURES; THRESHOLDING TECHNIQUES; VOLUMES OF INTERESTS;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DETECTORS; TEXTURES; THREE DIMENSIONAL;

DIAGNOSIS;

ARTICLE; CLINICAL ARTICLE; CLINICAL FEATURE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DATA BASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; DIFFUSE LUNG DISEASE; DISEASE SEVERITY; EMPHYSEMA; HUMAN; LUNG; LUNG DISEASE; LUNG PARENCHYMA; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; RADIOLOGIST; SENSITIVITY AND SPECIFICITY; VOLUMETRY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; HUMANS; LUNG DISEASES; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 72149087712     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/54/22/009     Document Type: Article

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