COMPUTER-AIDED DIAGNOSIS OF PULMONARY INFECTIONS USING TEXTURE ANALYSIS AND SUPPORT VECTOR MACHINE CLASSIFICATION

摘要

ObjectiveThe 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.