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Nikitaev, V. G., Nagornov, O. V., Pronichev, A. N., Polyakov, E. V., Zaytsev, S. M., Zakharenko, Y. V., & Dmitrieva, V. V. (2018). Research of the Leukocytes Segmentation Method in the Blood Cells Recognition Systems. KnE Energy, 3(2), 350–354. https://doi.org/10.18502/ken.v3i2.1835

https://doi.org/10.18502/ken.v3i2.1835

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authors

  • V G Nikitaev
    No author data available.
  • O V Nagornov
    No author data available.
  • A N Pronichev
    No author data available.
  • E V Polyakov
    No author data available.
  • S M Zaytsev
    No author data available.
  • Y V Zakharenko
    No author data available.
  • V V Dmitrieva
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Published Date

  • Apr 17, 2018

Research of the Leukocytes Segmentation Method in the Blood Cells Recognition Systems

KnE Energy / The 2nd International Symposium "Physics, Engineering and Technologies for Biomedicine" / Pages 350–354

Abstract

The paper proposed a method of segmentation of leukocytes from the blood and bone marrow samples. A study of the accuracy characteristics of the method is carried out. The techniques of watersheds and the distances transformation were used as the basis of our segmentation method to achieve optimal segmentation of leukocyte. Proposed method was successfully embedded in the system of automatic recognition of white blood cells for classification of blood cells.


Keywords: white blood cells segmentation, cells recognition, watershed method, distance transformation method, acute leukemia.

References
[1] V.G. Nikitaev, A.N. Pronichev, E.V. Polyakov, V.V. Dmitrieva, N. N. Tupitsyn, M.A. Frenkel, A.V. Mozhenkova, “Application of texture analysis methods to computer microscopy in the visible range of electromagnetic radiation”, Bulletin of the Lebedev Physics Institute, vol. 43, no. 10, pp. 306-308, 2016.


[2] A.N. Pronichev, E.V. Polyakov, N.N. Tupitsyn, M.A. Frenkel, A.V. Mozhenkova, “The use of optical microscope equipped with multispectral detector to distinguish different types of acute lymphoblastic leukemia”, Journal of Physics: Conference Series, vol. 784, no. 1, p. 012003, 2017.


[3] Zakharenko Y. V., V. G. Nikitaev, E. V.Polyakov and S. O. Seldyukov “The method of selection of leukocytes in images of preparations of peripheral blood and bone marrow” //Journal of Physics: Conference Series, vol. 798, no. 1, p. 012127, 2017.


[4] A. V. Mozhenkova, N. N. Tupitsin, M. A. Frenkel, N. A. Falaleeva, V. G. Nikitaev and E. V. Polyakov “Computer microscopy in lymphoma diagnostics”, Journal of Physics: Conference Series. vol. 798, no. 1, p. 012126, 2017.


[5] L Putzu and C Di Ruberto “White Blood Cells Identification and Counting from Microscopic Blood Image”, International Journal of Medical, Health, Biomedical,Bioengineering and Pharmaceutical Engineering, vol.7, no.1, pp. 20-27, 2013


[6] P. P. Acharjya, A. Sinha, S. Sarkar, S. Dey, and S. Ghosh (2013), “A new approach of watershed algorithm using distance transform applied to image segmentation”, International Journal of Innovative Research in Computer and Communication Engineering, vol., 1, no. 2, pp. 185-189, 2013


[7] V.G. Nikitaev, O.V. Nagornov, A.N. Pronichev, E.V. Polyakov, V.Y. Sel’chuk, K.S. Chistov, V.N. Blindar’, V.V. Dmitrieva, S.M Zaitsev, V.V. Gordeev, “Study of the Effectiveness of Using Wavelet Analysis in Data-Acquisition Systems for Diagnosis of Acute Leukemias” Measurement Techniques, vol. 57, no. 10, pp. 1203-1208, 2015.


[8] V.G. Nikitaev, O.V. Nagornov, A.N. Pronichev, E.V. Polyakov, V.V. Dmitrieva, “The use of the wavelet transform for the formation of the quantitative characteristics of the blood cells images for the automation of hematological diagnostics” WSEAS Transactions on Biology and Biomedicine, vol. 12, no. 3, pp. 16-19, 2015.