A Fuzzy Inference System Design for Computer Aided Mass Detection in Digital Mammogram Images

GÖREKE V., UZUNHİSARCIKLI E., ÖZTOPRAK B.

19th National Biomedical Engineering Meeting (BIYOMUT), İstanbul, Türkiye, 5 - 06 Kasım 2015 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/biyomut.2015.7369461
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Breast cancer is the most common cancer in women. A mammogram is an X-ray of the breast, using very low levels of radiation. Artificial intelligence and fuzzy inference techniques can be used in CAD systems. These systems generally have main phases that the their names are image processing, and classification. In this study, we used images of mammogram that were obtained MIAS database. The fuzzy inference system was designed using image processing tecniques and statical features. The system was tested and for sensitivity and specificity respectively, %98 and %99 was found. This study gave better results than our earlier studies using artificial neural network that have %96 sensivity and %96 specifity.