A Parallel Implementation of Modified Fuzzy Logic for Breast Cancer Detection

Journal of Advances in Computer Research

شناسنامه علمی شماره، دوره 7، شماره 2 - شماره پیاپی 24، مرداد 2016، صفحه 139-148   

نویسندگان

Farnaz Hoseini^{* 1}؛ Asadollah Shahbahrami²؛ Anaram Yaghoobi Notash¹؛ Peyman Bayat³

¹Department of Computer Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran

²Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran

³Department of Computer Engineering, Collage of Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran

چکیده

According to world health organization, breast cancer is one of the most deadly cancers occurred in women. Therefore accurate diagnosis and prediction is important to decrease the high death rate. The aim of this paper is twofold. First, improving breast cancer detection accuracy using Modified Fuzzy Logic (MFL) then improving the performance of MFL algorithm using GPU platform. The experimental results show that the accuracy of the breast cancer detection using MFL is higher than other techniques. In addition, by exploiting loop-level parallelism and pipeline parallel communication pattern in MFL algorithm, its performance is improved up to 19.17x for different image sizes.

کلیدواژه‌ها

Edge Detection Algorithms؛ Fuzzy logic؛ Breast cancer؛ GPU؛ MATLAB؛ Parallel Computing