Abstract
The classification of diffuse lung opacities in high-resolution computed tomography(HRCT) images is an important step for developing a computer-aided diagnosis(CAD) system. In designing the CAD system for classifying diffuse lung opacities in HRCT images, a histogram feature has been shown to be effective. In order to improve further the classification performance of the CAD system, we have proposed the use of a local histogram feature vector. The experimental results show that the proposed method leads to clear improvement of the classification performance.
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