Breast Cancer Detection Using Local Optimization Algorithm for Deep Convolutional Neural Networks

Abstract

In this paper, breast cancer identification and grading is implemented through chitosan nanoparticles agents in cancer cells during molecular imaging through DnCNN image enhancement algorithm. However, cancer cell detection at early stage using mammogram and Tissue culture due to improper maintenance of aseptic conditions, microbial and chemical contamination. To overcome above problems, a Chitosan nanoparticle is used as agent in SEM image is obtained from cancer cell for grading of cancer. The chitosan nanoparticles based cancer cell SEM images is enhanced using Deep CNN. The enhanced images cancer detection at earlier stage and grading is obtained. The proposed Deep CNN-based classification and identification, specifically employing LOA-DNCNN for cancer cell performs better than traditional method in terms of cost and accuracy.