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Volumn 24, Issue 3, 2000, Pages 437-447
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Gradient correction and classification of CT lung images for the automated quantification of mosaic attenuation pattern
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Author keywords
Attenuation values; Computed tomography, physics and instrumentation; Computed tomography, techniques; Lungs, anatomy; Lungs, diseases
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Indexed keywords
AUTOMATION;
BIOLOGICAL ORGANS;
CLUSTERING ALGORITHMS;
IMAGE CLASSIFICATION;
ITERATIVE METHODS;
MATHEMATICAL MORPHOLOGY;
MATHEMATICAL OPERATORS;
PHANTOMS;
ATTENUATION VALUE;
BRONCHIOLITIS;
COMPUTED TOMOGRAPHY, PHYSIC AND INSTRUMENTATION;
COMPUTED TOMOGRAPHY, TECHNIQUE;
CT IMAGE;
DENSITY GRADIENTS;
DETECTION OF DENSITIES;
FULLY AUTOMATED;
LUNG ANATOMY;
LUNG CT;
COMPUTERIZED TOMOGRAPHY;
ANATOMY;
ARTICLE;
AUTOMATION;
BRONCHIOLITIS;
CLINICAL ARTICLE;
COMPUTER ASSISTED TOMOGRAPHY;
CONTROLLED STUDY;
DISEASE CLASSIFICATION;
HUMAN;
IMAGE INTENSIFIER;
INSTRUMENTATION;
LUNG DISEASE;
LUNG PARENCHYMA;
PHANTOM;
PRIORITY JOURNAL;
RADIATION ATTENUATION;
RADIATION PHYSICS;
REPRODUCIBILITY;
TECHNIQUE;
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EID: 0034464681
PISSN: 03638715
EISSN: None
Source Type: Journal
DOI: 10.1097/00004728-200005000-00016 Document Type: Article |
Times cited : (18)
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References (16)
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