Deep Learning Approach to the Normal and Abnormal Blood Cells in Human Blood Smear

Abstract

This paper provides Deep Neural Network model for analyzing and classifying the blood cells image. Detecting various diseases from the human body is obtained though blood cells and it is one of the better ways to detect the disease accurately. Various diseases like cancer, bone cracks, nerve problems are detected and classified only through certain images such as MRI, CT, X-Ray. Whereas most of the diseases are detected by analyzing the blood cells. This paper does analyze the blood cell images and do detecting and classifying the abnormality using Deep Neural Network method. The DNN is implemented in MATLAB software and the results are compared with the existing Support Vector Machine method and the compared accuracy is given in the paper. From the comparison, it is found that the proposed DNN is better for detecting and classifying the blood cell diseases.