A Parallel Implementation of Modified Fuzzy Logic for Breast Cancer Detection
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.
کلید واژگان
Edge Detection AlgorithmsFuzzy logic
Breast cancer
GPU
MATLAB
Parallel Computing
شماره نشریه
2تاریخ نشر
2016-05-011395-02-12
ناشر
Sari Branch, Islamic Azad Universityسازمان پدید آورنده
Department of Computer Engineering, Rasht Branch, Islamic Azad University, Rasht, IranDepartment of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran
Department of Computer Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran
Department of Computer Engineering, Collage of Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran
شاپا
2345-606X2345-6078
