Title :
A fuzzy inference system design for computer aided mass detection in digital mammogram images
Author :
Volkan G?reke;Esma Uzunhisarc?kl?;Bilge ?ztoprak
Author_Institution :
Cumhuriyet ?niversitesi Sivas Meslek Y?ksek Okulu Bilgisayar Teknolojileri B?l?m?, Turkey
Abstract :
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 techniques 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 sensitivity and %96 specificity.
Keywords :
"Mammography","Histograms","Computers","Fuzzy logic","Design automation","Cancer"
Conference_Titel :
Medical Technologies National Conference (TIPTEKNO), 2015
DOI :
10.1109/TIPTEKNO.2015.7374537