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Computer-aided Diagnosis of Pulmonary Infections Using Texture Analysis and Support Vector Machine Classification
2011
Academic Radiology
Objective-The purpose of this study was to develop and test a computer-assisted detection method for identification and measurement of pulmonary abnormalities on chest CT in cases of infection, such as novel H1N1 influenza. The method developed could be a potentially useful tool for classifying and quantifying pulmonary infectious disease on CT. Subjects and Methods-Forty Chest CTs were studied using texture analysis and support vector machine (SVM) classification to differentiate normal from
doi:10.1016/j.acra.2010.11.013
pmid:21295734
pmcid:PMC3061440
fatcat:obtovbenwzadlj7unsqhmdnof4