Effectiveness of Asymmetry Analysis Technique Based on Statistical Features in Breast Cancer Detection with Modern Thermographic Imaging Systems

KARAGÖZ İ.

International Conference on Medical and Biological Engineering in Bosnia and Herzegovina (CMBEBIH), Banja Luka, Bosnia And Herzegovina, 16 - 18 May 2019, vol.73, pp.159-163 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 73
  • Doi Number: 10.1007/978-3-030-17971-7_25
  • City: Banja Luka
  • Country: Bosnia And Herzegovina
  • Page Numbers: pp.159-163
  • Keywords: Breast cancer, Cancer diagnosis, Thermography, Asymmetry analysis, Feature extraction, Infrared imaging
  • Gazi University Affiliated: Yes

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.