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Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classification performance on image datasets. To date, it appears that COVID computer-aided diagnosis systems based on CNNs and clin...
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| Vydáno v: | Sci Rep |
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| Hlavní autoři: | , , , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8319175/ https://ncbi.nlm.nih.gov/pubmed/34321491 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-93543-8 |
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