Computer-aided diagnosis of pulmonary infections using texture analysis and support vector machine classification.

@article{Yao2011ComputeraidedDO,
  title={Computer-aided diagnosis of pulmonary infections using texture analysis and support vector machine classification.},
  author={Jianhua Yao and Andrew J. Dwyer and Ronald M. Summers and Daniel J. Mollura},
  journal={Academic radiology},
  year={2011},
  volume={18 3},
  pages={
          306-14
        }
}
RATIONALE AND OBJECTIVES The purpose of this study was to develop and test a computer-assisted detection method for the identification and measurement of pulmonary abnormalities on chest computed tomographic (CT) imaging 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 imaging. MATERIALS AND METHODS Forty chest CT examinations were studied using texture analysis and… CONTINUE READING
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