Classification of acute leukemia using CD markers

This paper presents characteristics of morphology, immunophenotype, molecular and cytogenetic of bone marrow samples were analyzed. Leukemia is divided into two categories which are acute leukemia and chronic leukemia and other types. Our work focuses on classification of Foil of Bretagne (Lymphoid) and Almeida Lloyd (Myeloid). The features are extracted from the segmented images and classified using the Support Vector Machine (SVM). The method has been evaluated using a set of 200 images with 100 abnormal samples and 100 normal samples obtained. The classification proposed 3 subtypes of ALL and 8 subtypes of AML that are characterized by unique morphologic, immunologic, and cytogenetic features Immunologic (MIC group) markers cluster of differentiation (CD). The computer simulations show that the proposed system robustly segments and classifies Acute Myelogenous Leukemia based on complete microscopic blood images. We have obtained accuracy 93.89 %.