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

Zorin Yu. V.; Avanesov M. A.; Pronichev A. N.Palladina A. D.

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

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

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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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来源
《Physics of atomic nuclei》 |2022年第11期|1948-1950|共3页
作者
Zorin Yu. V.; Avanesov M. A.; Pronichev A. N.Palladina A. D.;
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作者单位

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute);

Blokhin National Medical Research Center of Oncology of the Ministry of Health of the Russian Federation (Blokhin NMRCO);

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正文语种英语
中图分类原子物理学;原子核物理学、高能物理学;
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blood and bone marrow cell recognition; neural networks; image segmentation;

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

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