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Bone marrow cells recognition methods in the diagnosis of minimal residual disease

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dc.contributor.authorChernysheva, O.
dc.contributor.authorSerebryakova, I.
dc.contributor.authorTupitsyn, N.
dc.contributor.authorNikitaev, V.
dc.contributor.authorPronichev, A.
dc.contributor.authorPolyakov, E.
dc.contributor.authorНикитаев, Валентин Григорьевич
dc.contributor.authorПроничев, Александр Николаевич
dc.contributor.authorПоляков, Евгений Валерьевич
dc.date.accessioned2024-11-26T13:23:59Z
dc.date.available2024-11-26T13:23:59Z
dc.date.issued2020
dc.description.abstract© 2020 The Authors. Published by Elsevier B.V.The study of methods and models for the analysis of images of bone marrow preparations in computer microscopy systems for the diagnosis of minimal residual disease is carried out. A sample of preparations for patients with acute lymphoblastic leukemia was formed for the study. Bone marrow cell images were obtained for this sample. As a result of experimental studies, the results of classification of bone marrow cells using different classifiers were obtained.
dc.format.extentС. 353-358
dc.identifier.citationBone marrow cells recognition methods in the diagnosis of minimal residual disease / Chernysheva, O. [et al.] // Procedia Computer Science. - 2020. - 169. - P. 353-358. - 10.1016/j.procs.2020.02.229
dc.identifier.doi10.1016/j.procs.2020.02.229
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2020.02.229
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85084453166&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/21767
dc.relation.ispartofProcedia Computer Science
dc.titleBone marrow cells recognition methods in the diagnosis of minimal residual disease
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume169
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