CLASSIFICATION OF CELL TYPES IN ACUTE MYELOID LEUKEMIA (AML) OF M4,M5 AND M7 SUBTYPES WITH SUPPORT VECTOR MACHINE CLASSIFIER

Abstract

Acute Myeloid Leukemia (AML) is one of cancer type that attack white blood cells in myeloid descendants. On the clinical examination of leukemia, the number of
each blast cell in the laboratory is calculated. However, in some subtype of AML like M4, M5 and M7 are affected by the same type of precursor cells. The, recursor cell of them are myeloblast, monoblast and megakaryoblast, which needs more detailed analysis to distinguish.Classification is performed on cell types of precursors cells derived from bone marrow preparations. The stages that have been completed are preprocessing, segmentation, extraction and feature selection, and classification. Features used as input of classification stage are area, nucleus ratio, circularity, perimeter, mean, and standard deviation. The support vector machine classification results in the best performance test data are achieved by Linear kernel. The performance was obtained by combining six features for eight cell types from the maturation of the three precursor cells. In this work the method isolates and determines the type of blood cancer in the smear which could be either normal or abnormal and determines the presence of blood white cell. Taking into consideration that abnormal white blood cells indicate to the associated blood leukemia.This research aims to classify cells based on cell type on AML subtypes M4, M5 and M7. The echniques used are the K -Means and some additional methods of segmentation and lso multiclass Support Vector Machine using one-vs-rest comparison model for cell of the development of precursor cells. The results of this study are expected to reduce errors and inconsistencies in classification of cell types in AML subtypes M4, M5 and M7.The results are verifying using MATLAB/SIMULINK environment