Regional context-sensitive support vector machine classifier to improve automated identification of regional patterns of diffuse interstitial lung disease

Journal of Digital Imaging

Volumn 24, Issue 6, 2011, Pages 1133-1140

  Lim, Jonghyuck ^a   Kim, Namkug ^b   Seo, Joon Beom ^b   Lee, Young Kyung ^c   Lee, Youngjoo ^a   Kang, Suk Ho ^a  

^a Seoul National University   (South Korea)

^b University of Ulsan College of Medicine   (South Korea)

^c Kyung Hee University College of Medicine   (South Korea)

Author keywords

Computed tomography; Computer aided diagnosis; Image processing; Lung diseases

Indexed keywords

AUTOMATED IDENTIFICATION; COMPUTED TOMOGRAPHY; CONTEXT-SENSITIVE; CROSS VALIDATION; DECISION VALUE; DISEASE PATTERNS; GROUND-GLASS OPACITY; HIGH-RESOLUTION COMPUTERIZED TOMOGRAPHY; INTERSTITIAL LUNG DISEASE; LUNG DISEASE; RECTANGULAR REGIONS; REGION FEATURE; REGIONAL PATTERN; SHAPE FEATURES; SVM CLASSIFIERS; T-TESTS;

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; FEATURE EXTRACTION; IMAGE PROCESSING; OPACITY; PULMONARY DISEASES; TOMOGRAPHY;

SUPPORT VECTOR MACHINES;

ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; INTERSTITIAL LUNG DISEASE; METHODOLOGY; RADIOGRAPHY; SUPPORT VECTOR MACHINE;

HUMANS; LUNG DISEASES, INTERSTITIAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84855599649     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-011-9367-0     Document Type: Article

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