Classification and Methods of Acute Lymphoblastic Leukemia Detection Using Neural Network
G. Mercy Bai, P. Venkadesh, S. Divya · Advances in computational intelligence and robotics book series · 2023
Leukemia is a cancer of the blood that starts from bone marrow then spreads into the bloodstream and other vital organs. Based on lymphoid or myeloid stem cells becoming cancerous, leukemia can be divided into myeloid leukemia and lymphoblastic leukemia. The EM-algorithm-based method uses statistics techniques to classify three types of leukocytes (i.e., band neutrophils, eosinophils, and lymphocytes). This method projects the image patterns onto lower dimensional subspaces by PCA and uses EM-algorithm to find the maximum likelihood solution for the models with latent variable. The SVM-based method uses the texture, shape, and color as the features to describe leukocytes. This chapter includes blood, introduction of ALL disease with its types, steps of ALL disease detection, detection types of ALL disease detection, and conclusion.