Classification of White blood cell using Convolution Neural Network

Abstract The human immune system consists of White Blood Cells that are responsible for fighting of disease pathogens. In the field of medical imagining, white blood cells is of great importance. Analysis of white blood cells can be helpful to medical experts in many of the cases such as viral infection or cancer infection. In this paper, the classification of White Blood Cell using a Convolution Neural Network (CNN) is proposed. The proposed approach is able to classify the type of cell in much less epochs/time than other approaches. The performance of the proposed approach is evaluated on Kaggle dataset. The overall accuracy obtained from the proposed approach is 98.55%.

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