| DC Field | Value | Language |
|---|
| dc.contributor.author | Miroshnichenko, A. S. | - |
| dc.contributor.author | Mikhelev, V. M. | - |
| dc.date.accessioned | 2021-06-04T13:41:29Z | - |
| dc.date.available | 2021-06-04T13:41:29Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Miroshnichenko, A.S. Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network / A.S. Miroshnichenko, V.M. Mikhelev // Journal of Physics: Conference Series. - 2021. - Vol.1801.-Art. 012010. - (Artificial intelligence and digital technologies in technical systems 2020 (AIDTTS-2020) : International Scientific Conference, Volgograd, Russian Federation, 20-21 October 2020). - Doi: 10.1088/1742-6596/1801/1/012010. - URL: https://iopscience.iop.org/article/10.1088/1742-6596/1801/1/012010/pdf | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/41284 | - |
| dc.description.abstract | The paper shows an approach to solving the problem of classifying X-ray images of the chest part of a healthy person and with the presence of COVID-19. The method is a trainable convolutional neural network. The results obtained allow improving existing approaches and methods in the field of classification of medical images with COVID-19, as well as obtaining an auxiliary mechanism for detecting COVID-19 in patients | ru |
| dc.language.iso | en | ru |
| dc.subject | technique | ru |
| dc.subject | computer engineering | ru |
| dc.subject | medical images | ru |
| dc.subject | convolutional neural network | ru |
| dc.subject | Covid-19 | ru |
| dc.subject | transfer learning | ru |
| dc.title | Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network | 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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