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Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays
INTRODUCTION: The objective of this study was to assess seven configurations of six convolutional deep neural network architectures for classification of chest X-rays (CXRs) as COVID-19 positive or negative. METHODS: The primary dataset consisted of 294 COVID-19 positive and 294 COVID-19 negative CX...
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| Wydane w: | Clin Imaging |
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| Główni autorzy: | , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
The Authors. Published by Elsevier Inc.
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8302887/ https://ncbi.nlm.nih.gov/pubmed/34425544 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinimag.2021.07.004 |
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