| DC Field | Value | Language |
|---|
| dc.contributor.author | Chernykh, E. M. | - |
| dc.contributor.author | Mikhelev, V. M. | - |
| dc.date.accessioned | 2021-06-04T08:58:25Z | - |
| dc.date.available | 2021-06-04T08:58:25Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Chernykh, 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/pdf | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/41239 | - |
| dc.description.abstract | The 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 classification | ru |
| dc.language.iso | en | ru |
| dc.subject | technique | ru |
| dc.subject | computer engineering | ru |
| dc.subject | computer system | ru |
| dc.subject | leukocytes classification | ru |
| dc.subject | medical images | ru |
| dc.subject | blood cells images | ru |
| dc.title | A computer system for the leukocytes classification in medical images | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
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