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General Information
    • ISSN: 1793-8201 (Print)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta
    • Executive Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • E-mail: ijcte@iacsitp.com
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2018 Vol.10(2): 54-58 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2018.V10.1198

Leukemia Blood Cell Image Classification Using Convolutional Neural Network

T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, Suk-Hwan Lee, and Ki-Ryong Kwon

Abstract—Acute myeloid leukemia is a type of malignant blood cell cancer that can affect both children and adults. There are 60,140 people were expected to be diagnosed with Leukemia in 2016, according to the Leukemia and Lymphoma Society. In order to get the most effective treatment, the patient needs early diagnosis. Therefore we need to have a support system of early diagnosis to guide treatment for patients with acute leukemia as soon as possible. In this paper, the authors propose a Convolutional Neural Network (CNN) based method to distinguish normal and abnormal blood cell images. The proposed method achieves an accuracy up to 96.6% with the dataset including 1188 blood cell images.

Index Terms—Classification, convolutional neural network, leucocyte, leukemia.

T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, and Ki-Ryong Kwon are with Department of IT Convergence and Applications Eng., Pukyong National University, the Republic of Korea (e-mail: thanhttp02@gmail.com, exen.xmen@gmail.com, sukhrob.reus@mail.ru, krkwon@pknu.ac.kr). Suk-Hwan Lee is with Department of Information Security, Tongmyong University, the Republic of Korea (e-mail: skylee@tu.ac.kr).


Cite:T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, Suk-Hwan Lee, and Ki-Ryong Kwon, "Leukemia Blood Cell Image Classification Using Convolutional Neural Network," International Journal of Computer Theory and Engineering vol. 10, no. 2, pp. 54-58, 2018.

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