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Classification of Leukemia Detection in Human Blood Sample Based on Microscopic Images

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Classification of Leukemia Detection in Human Blood Sample Based on Microscopic Images


Ei Ei Chaw | Ohnmar Win



Ei Ei Chaw | Ohnmar Win "Classification of Leukemia Detection in Human Blood Sample Based on Microscopic Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.1470-1474, URL: https://www.ijtsrd.com/papers/ijtsrd25186.pdf

Nowadays, the automatic specific tests such as Cytogenetics, Immunophenotyping and morphological cell classification can identify the leukemia disease by making experienced operators observing blood or bone marrow microscopic images. The early identification of Acute Lymphoblastic Leukemia (ALL) symptoms in patients can greatly increase the probability of recovery. When typical symptoms appear in normal blood analysis, those methods are not included into large screening programs and are applied only. The method of blood cell observation using Cytogenetics and Immunophenotyping diagnostic methods are currently preferred for their great accuracy with respect to present undesirable drawbacks: slowness and it presents a not standardized accuracy since it depends on the operator’s capabilities and tiredness. The detection of leukemia in human blood sample using microscopic images is suitable for low costs and remote diagnosis systems. In this paper presents an implementation of detection and classification of leukemia. The system will use features in microscopic images and examine changes on texture, shape and color analysis. Support Vector Machines (SVM) is used as a classifier, which classifies into cancerous or not. The detection and classification of ALL is implemented with MATLAB programming language.

Acute Lymphoblastic Leukemia (ALL), Cytogenetics, Immunophenotyping, Support Vector Machine (SVM).


IJTSRD25186
Volume-3 | Issue-4, June 2019
1470-1474
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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