期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2012
卷号：4
期号：5
页码：163
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Breast cancer is known as one of the most common cancers to afflict the female population. Computerassisted diagnosis can be helpful for doctors in detection and diagnosing of potential abnormalities.Several techniques can be useful for accomplishing this task. This paper outlines an approach forrecognizing breast cancer diagnosis using neuro-fuzzy inference technique namely ANFIS (AdaptativeNeuro-Fuzzy Inference System). Wisconsin breast cancer diagnosis (WBCD)database developed atUniversity of California, Irvine (UCI) is used to evaluate this method. Results show that the bestperformances are obtained by our model compared to others cited in literatur (an accuracy of 98, 25 % ).
