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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Mitani, Y., Fujita, Y., Matsunaga, N., Hamamoto, Y. (2012). The Use of a Local Histogram Feature Vector of Classifying Diffuse Lung Opacities in High-Resolution Computed Tomography. In: Jiang, H., Ding, W., Ali, M., Wu, X. (eds) Advanced Research in Applied Artificial Intelligence. IEA/AIE 2012. Lecture Notes in Computer Science(), vol 7345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31087-4_36
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DOI: https://doi.org/10.1007/978-3-642-31087-4_36
Publisher Name: Springer, Berlin, Heidelberg
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