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2021•Journal of Physics Conference SeriesOpen access

Classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia

V G Nikitayev, А. Н. Проничев, N N Tupitsin, Vladimir Yu. Selchuk, V. V. Dmitrieva, A. D. Palladina, E. V. Polyakov, Kirill A. Liberis, M Dzhokich, М. А. Соломатин, Elena M. Nosova

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Abstract

Abstract The paper presents approaches to automated classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia and minimal residual disease using image recognition procedures. The classification methods that show the best accuracy in the recognition of eight types of bone marrow cells were experimentally determined. Recommendations for their use are given.

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Abstract The paper presents approaches to automated classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia and minimal residual disease using image recognition procedures. The classification methods that show the best accuracy in the recognition of eight types of bone marrow cells were experimentally determined. Recommendations for their use are given.

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Available abstract

Abstract The paper presents approaches to automated classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia and minimal residual disease using image recognition procedures. The classification methods that show the best accuracy in the recognition of eight types of bone marrow cells were experimentally determined. Recommendations for their use are given.

Key concepts: Lymphoblastic Leukemia, Bone marrow, Minimal residual disease, Medicine, Pathology, Leukemia, Residual, Computer science

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