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Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images
The COVID-19, novel coronavirus or SARS-Cov-2, has claimed hundreds of thousands of lives and affected millions of people all around the world with the number of deaths and infections growing exponentially. Deep convolutional neural network (DCNN) has been a huge milestone for image classification t...
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| Опубликовано в: : | Signal Image Video Process |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer London
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7788389/ https://ncbi.nlm.nih.gov/pubmed/33432267 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11760-020-01820-2 |
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