Comparison of methods for texture analysis of QUS parametric images in the characterization of breast lesions
Fig 2
Representative box and scatter plots of features that demonstrate statistically significant difference (p-values < 0.05) between benign (‘B’) and malignant (‘M’) lesion groups.
The first row shows core and margin mean-value parameters. The second row depicts representative core and margin GLCM features that showed discriminative power. The third row shows representative core and margin GRLM features that discriminate the two lesion groups. The last row depicts representative GLSZM features that provided the most discriminative power. There is a total of 160 features from tumour core and 5-mm margin, including 10 image quality features, available for feature selection. Among these features, 4 mean-values, 125 textural, and 1 image quality features demonstrate statistically significant difference between the two lesions. Statistically significant (p < 0.05), highly significant (p < 0.01), and extremely significant (p < 0.001) are shown with (*), (**), and (***), respectively.