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dc.contributor.authorChernykh, E. M.-
dc.contributor.authorMikhelev, V. M.-
dc.date.accessioned2021-06-04T08:58:25Z-
dc.date.available2021-06-04T08:58:25Z-
dc.date.issued2021-
dc.identifier.citationChernykh, E.M. A computer system for the leukocytes classification in medical images / E.M. Chernykh, V.M. Mikhelev // Journal of Physics: Conference Series. - 2021. - Vol.1715.-Art. 012007. - (Marchuk Scientific Readings 2020 (MSR-2020) : International Conference, dedicated to the 95th anniversary of the birthday of RAS Academician Guri. I. Marchuk, Novosibirsk, Russia, October 19-23, 2020). - Doi: 10.1088/1742-6596/1715/1/012007. - URL: https://iopscience.iop.org/article/10.1088/1742-6596/1715/1/012007/pdfru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/41239-
dc.description.abstractThe paper is about the development of a computer system for the white blood cells images classification. Solving the leukocytes classification task makes it possible to diagnose not only the blood diseases, but also a wide range of other diseases, as well as to evaluate the overall state of a person's health. Modern leukocytes classification methods have a fairly large number of shortcomings, which make a problem of finding the most effective method as a tool to solve this task. In our computer system we use the method based on using a trained convolutional neural network as a binary classifier for the leukocytes classificationru
dc.language.isoenru
dc.subjecttechniqueru
dc.subjectcomputer engineeringru
dc.subjectcomputer systemru
dc.subjectleukocytes classificationru
dc.subjectmedical imagesru
dc.subjectblood cells imagesru
dc.titleA computer system for the leukocytes classification in medical imagesru
dc.typeArticleru
Располагается в коллекциях:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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