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The Use of a Slice Feature Vector of Classifying Diffuse Lung Opacities in High-Resolution Computed Tomography Images

机译:在高分辨率计算断层摄影图像中使用切片特征向量的分类弥漫性肺透明度

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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 vector approach has been shown to be effective. In order to improve further the classification performance of the CAD system, we have explored another type of feature vector. Furthermore, the combination of these features may be used for lung opacities classification. In this paper, we have proposed the use of a slice feature vector. The experimental results show that the proposed method is promising.
机译:高分辨率计算断层扫描(HRCT)图像中漫射肺不透明的分类是开发计算机辅助诊断(CAD)系统的重要步骤。在设计用于在HRCT图像中分类漫射肺不透明性的CAD系统,已经显示了直方图特征向量方法是有效的。为了进一步提高CAD系统的分类性能,我们已经探索了另一种类型的特征向量。此外,这些特征的组合可用于肺不透明度分类。在本文中,我们提出了使用切片特征向量。实验结果表明,该方法有前途。

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