Ultrasound imaging has been widely used to visualize internal body structure. In clinical practices, physicians employ ultrasound imaging to assist the diagnosis of various diseases. However, different parameter settings in sonography system may cause discrepancies in the ultrasound images. Hence, this paper proposed a GA-based method for selecting universal features under different parameter settings in sonography system. The F-score, T-test, and Correlation coefficient are used to evaluate the discriminant capability of features. Experimental results showed that the selected universal feature sets achieve high classification accuracy in various parameter settings.
['Chuan-Yu Chang', 'Mao-Cheng Chen', 'Shao-Jer Chen']
Selecting the Universal Features for Breast Lumps with Different Acquisition Parameter Settings