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2009 Fifth International Conference on Natural Computation
A Comparison between Inside and Outside Texture Features Extracting from Pulmonary Nodules of CT Images
Tianjian, China
August 14-August 16
ISBN: 978-0-7695-3736-8
Objective To compare the differences of texture features extracting from inside and outside of pulmonary nodules of CT images. Methods We extract texture features from 2,171 CT images of 185 cases with gray-level co-occurrence matrix and wavelet transform. Chi-square test, t test, nonparametric statistics and multiple analyses of variance are used to analyze the database. We can get basic situation of cases and differences of texture features between inside and outside of pulmonary nodules of CT images. Results Gender distribution in cases show no statistically significant differences (x2=2.362, P=0.124). Texture features extracting form inside and outside of pulmonary nodules of CT images with gray-level co-occurrence matrix (F=1642.212, P<0.001) and wavelet transform (F=711.572, P<0.001) show statistically significant differences. Conclusions There are differences in texture features between inside and outside of pulmonary nodules of CT images. We need to select the most appropriate texture features extracting region to establish prediction model.
Index Terms:
Gray-level co-occurrence matrix, Wavelet transform, Texture features, Difference comparison
Citation:
Liu Yunning, Wang Huan, Guo Xiuhua, Liang Zhigang, He Qian, "A Comparison between Inside and Outside Texture Features Extracting from Pulmonary Nodules of CT Images," icnc, vol. 6, pp.183-186, 2009 Fifth International Conference on Natural Computation, 2009
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