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Recognition of Leukocytes on Smears of Peripheral Blood and Bone Marrow Using a Neural Network Approach

  • MEDICAL PHYSICS AND BIOPHYSICS
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Abstract

The article studies the problem of classifying leukocytes in images of peripheral blood and bone marrow preparations with multiple contact of leukocytes with each other for automated diagnosis of diseases of the hematopoiesis system. The proposed approach is based on the definition of a class of leukocytes by a combination of the K-means method and a convolutional neural network. The application of the K-means method is preceded by the implementation of the watershed algorithm with distance conversion. On the basis of the results of the experiment, the accuracy of recognition of lymphoblasts, granulocytes, monocytes, and lymphocytes is evaluated. The proposed solutions can be further applied in decision support systems in the diagnosis of acute leukemia.

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Funding

This work was supported by the Ministry of Science and Higher Education of the Russian Federation, project FSWU-2020-0035.

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Authors and Affiliations

  1. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409, Moscow, Russia

    Yu. V. Zorin, M. A. Avanesov & A. N. Pronichev

  2. Blokhin National Medical Research Center of Oncology of the Ministry of Health of the Russian Federation (Blokhin NMRCO), 115478, Moscow, Russia

    A. D. Palladina

Authors
  1. Yu. V. Zorin
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  2. M. A. Avanesov
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  3. A. N. Pronichev
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  4. A. D. Palladina
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Corresponding author

Correspondence to A. N. Pronichev.

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The authors declare that they have no conflicts of interest.

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Translated by V. Selikhanovich

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Zorin, Y.V., Avanesov, M.A., Pronichev, A.N. et al. Recognition of Leukocytes on Smears of Peripheral Blood and Bone Marrow Using a Neural Network Approach. Phys. Atom. Nuclei 85, 1948–1950 (2022). https://doi.org/10.1134/S1063778822090447

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  • DOI: https://doi.org/10.1134/S1063778822090447

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