Classifying White Blood Cells Using Machine Learning Algorithms

Abdullah Elen; M. Kamil Turan

doi:10.29137/umagd.498372

EN

Classifying White Blood Cells Using Machine Learning Algorithms

Abstract

Blood and its components have an important place in human life and are the best indicator tool in determining many pathological conditions. In particular, the classification of white blood cells is of great importance for the diagnosis of hematological diseases. In this study, 350 microscopic blood smear images were tested with 6 different machine learning algorithms for the classification of white blood cells and their performances were compared. 35 different geometric and statistical (texture) features have been extracted from blood images for training and test parameters of machine learning algorithms. According to the results, the Multinomial Logistic Regression (MLR) algorithm performed better than the other methods with an average 95% test success. The MLR can be used for automatic classification of white blood cells. It can be used especially as a source for diagnosis of diseases for hematologists and internal medicine specialists.

Keywords

WBC classification,leukocytes,blood cells,machine learning

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Abdullah Elen ^*
0000-0003-1644-0476
Türkiye

M. Kamil Turan This is me
Türkiye

Publication Date

January 31, 2019

Submission Date

December 17, 2018

Acceptance Date

December 21, 2018

Published in Issue

Year 2019 Volume: 11 Number: 1

DOI

https://doi.org/10.29137/umagd.498372

IZ

https://izlik.org/JA93KT58KR

APA

Elen, A., & Turan, M. K. (2019). Classifying White Blood Cells Using Machine Learning Algorithms. International Journal of Engineering Research and Development, 11(1), 141-152. https://doi.org/10.29137/umagd.498372

AMA

1.Elen A, Turan MK. Classifying White Blood Cells Using Machine Learning Algorithms. IJERAD. 2019;11(1):141-152. doi:10.29137/umagd.498372

Chicago

Elen, Abdullah, and M. Kamil Turan. 2019. “Classifying White Blood Cells Using Machine Learning Algorithms”. International Journal of Engineering Research and Development 11 (1): 141-52. https://doi.org/10.29137/umagd.498372.

EndNote

Elen A, Turan MK (January 1, 2019) Classifying White Blood Cells Using Machine Learning Algorithms. International Journal of Engineering Research and Development 11 1 141–152.

IEEE

[1]A. Elen and M. K. Turan, “Classifying White Blood Cells Using Machine Learning Algorithms”, IJERAD, vol. 11, no. 1, pp. 141–152, Jan. 2019, doi: 10.29137/umagd.498372.

ISNAD

Elen, Abdullah - Turan, M. Kamil. “Classifying White Blood Cells Using Machine Learning Algorithms”. International Journal of Engineering Research and Development 11/1 (January 1, 2019): 141-152. https://doi.org/10.29137/umagd.498372.

JAMA

1.Elen A, Turan MK. Classifying White Blood Cells Using Machine Learning Algorithms. IJERAD. 2019;11:141–152.

MLA

Elen, Abdullah, and M. Kamil Turan. “Classifying White Blood Cells Using Machine Learning Algorithms”. International Journal of Engineering Research and Development, vol. 11, no. 1, Jan. 2019, pp. 141-52, doi:10.29137/umagd.498372.

Vancouver

1.Abdullah Elen, M. Kamil Turan. Classifying White Blood Cells Using Machine Learning Algorithms. IJERAD. 2019 Jan. 1;11(1):141-52. doi:10.29137/umagd.498372