Identification Of Blood Cell Types Using CNN
International Research Journal of Modernization in Engineering Technology and Science · 2023
White blood cells (leukocytes) play an important role in the human body by increasing immunity and fighting infectious diseases.The classification of White Blood Cells is critical in detecting disease in an individual.The classification can also help with the identification of diseases caused by immune system anomalies, such as infections, allergies, anaemia, leukaemia, cancer, and Acquired Immune Deficiency Syndrome (AIDS).This classification will aid haematologists in distinguishing the types of White Blood Cells found in the human body and determining the root cause of diseases.There is currently a lot of research going on in this field.Given the importance of WBC classification, we will use a deep learning technique called Convolution Neural Networks (CNN) to classify images of WBCs into four subtypes: neutrophils, eosinophils, lymphocytes, and monocytes.We will present the results of various experiments performed on the Blood Cell Classification and Detection (BCCD) dataset using CNN in this paper.