Classification Of Breast Cancer Using Deep Learning- Blue Monkey Optimized Modified U-Net

Abstract

Breast cancer is serious risk cancer that leads to death in women. For every year, the death rate due to breast cancer is 2.1%  of the total death rate.  Early prediction and treatment is a difficult task for breast cancer. Computer-aided diagnostics and image preprocessing based approaches contribute to support for doctors in early prediction. In this work, a modified U –net-based deep learning model proposed for the differentiation of breast cancer severity. The accuracy parameters of U –net model tuned by Blue Monkey (BM) optimization. BM optimization is inspired by behavior of male monkeys in the forest for leadership and survival.   The proposed model coded in MATLAB and validated in INbreast data set. Results show that the proposed model achieves higher accuracy and improved performance than exiting models.