Classification and Detection of Blood Subtype Cells Images using Hybrid Convolutional Neural Network

Today, people’s personal health is mainly monitored through blood parameters. The increase in white blood cells will lead to more complicated, having four classes in white blood cells are Eosinophil, Lymphocyte, Monocyte and Neutrophil. Each subtype having some range, if it exceeds that range, we get infected. The proposed hybrid CNN model that evaluates the white blood cell in the image collected through different data sources. It identifies the White Blood Cells present in the blood cell image and highlight the cell and also clarifies the presence of Eosinophil, Lymphocyte, Monocyte and Neutrophil. The analysis is made on precision, recall, f1-score, accuracy to evaluate the performance of the model. Our proposed model proves to be ahead than the other model proposed in the previous work.