Classification of WBC cell classification using fully connected convolution neural network

Abstract White blood cells (WBCs) are that is key factor of the immune systems which help to our body fight off contagions and other diseases. In order enhance diagnosis various diseases in medical field by using image processing techniques from cells. that, Leukemia associated with one type cancer bone marrow. It look like spongy tissue inside bones where made. this paper, a fully connected. Convolution neural network used segmented classification cell microscope WBC images for healthy unhealthy conditions. The performance classifier was analyzed. accuracy sensitivity specificity pression 96.84%, 96.26%,97.35% 96.39% respectively.