Effectiveness of asymmetry analysis technique based on statistical features in breast cancer detection with modern thermographic imaging systems

Abstract

This paper discusses the diagnostic performance of the modern medical thermal imaging system with the other imaging modalities for breast cancer detection. In this study, the digital infrared thermal imaging system is used for analyzing the thermal images of the 270 breast patients diagnosed by the conventional imaging techniques. The thermographic images of these patients are analyzed and then classified according to the 6 different BI-RADS categories by means of the asymmetry analysis technique based on the commonly used 11 statistical features. Finally, higher sensitivity, specificity values and higher accuracy rates are obtained for the 270 breast patients.