Feature selection methods of the combined feature vector for classifying diffuse lung opacities in thin section computed tomography
説明
In designing a computer-aided diagnosis (CAD) system for classifying diffuse lung opacities in thin-section computed tomography (HRCT) images, the computational cost is an important factor. In this paper, the feature selection methods for reducing the dimensionality of the combined feature vector are investigated.
収録刊行物
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- IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 2003.
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IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 2003. 208-209, 2004-07-09
IEEE