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Applications of neural networks in the diagnosis of lymphoproliferative diseases

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dc.contributor.authorMozhenkova, A. V.
dc.contributor.authorTupitsin, N. N.
dc.contributor.authorFrenkel, M. A.
dc.contributor.authorGrebennikova, O. P.
dc.contributor.authorNikitaev, V. G.
dc.contributor.authorPronichev, A. N.
dc.contributor.authorPolyakov, E. V.
dc.contributor.authorDmitrieva, V. V.
dc.contributor.authorKobelev, S. A.
dc.contributor.authorSelchuk, V. Y.
dc.contributor.authorНикитаев, Валентин Григорьевич
dc.contributor.authorПроничев, Александр Николаевич
dc.contributor.authorПоляков, Евгений Валерьевич
dc.contributor.authorДмитриева, Валентина Викторовна
dc.contributor.authorСельчук, Владимир Юрьевич
dc.date.accessioned2024-11-21T08:31:42Z
dc.date.available2024-11-21T08:31:42Z
dc.date.issued2019
dc.description.abstract© 2019 Published under licence by IOP Publishing Ltd. The work is devoted to one of the promising directions in the field of artificial intelligence - recognition of blood cells and bone marrow to differentiate leukocytes by type in the diagnosis of lymphoproliferative diseases using computer microscopy. The article presents a study using neural networks to classify cells by type.
dc.identifier.citationApplications of neural networks in the diagnosis of lymphoproliferative diseases / Mozhenkova, A.V. [et al.] // Journal of Physics: Conference Series. - 2019. - 1189. - № 1. - 10.1088/1742-6596/1189/1/012037
dc.identifier.doi10.1088/1742-6596/1189/1/012037
dc.identifier.urihttps://www.doi.org/10.1088/1742-6596/1189/1/012037
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85065615240&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/17993
dc.relation.ispartofJournal of Physics: Conference Series
dc.titleApplications of neural networks in the diagnosis of lymphoproliferative diseases
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume1189
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