http://dspace.bsu.edu.ru/handle/123456789/41284| Title: | Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network |
| Authors: | Miroshnichenko, A. S. Mikhelev, V. M. |
| Keywords: | technique computer engineering medical images convolutional neural network Covid-19 transfer learning |
| Issue Date: | 2021 |
| 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 |
| 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 |
| URI: | http://dspace.bsu.edu.ru/handle/123456789/41284 |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Miroshnichenko_Classification.pdf | 817.9 kB | Adobe PDF | View/Open |
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