Classification of acute leukemia using CD markers

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Author listLaosai J., Chamnongthai K.

PublisherHindawi

Publication year2016

Start page253

End page256

Number of pages4

ISBN9781467381376

ISSN0146-9428

eISSN1745-4557

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84966480030&doi=10.1109%2fKST.2016.7440535&partnerID=40&md5=7d701278cd73ca5b3198393b937b0f64

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

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 %. ฉ 2016 IEEE.


Keywords

cluster of differentiation (CD)flow cytometryimmunophenotypingMorphologic immunologic cytogenetic (MIC)


Last updated on 2023-25-09 at 07:35