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CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR
To mitigate the spread of the current coronavirus disease 2019 (COVID-19) pandemic, it is crucial to have an effective screening of infected patients to be isolated and treated. Chest X-Ray (CXR) radiological imaging coupled with Artificial Intelligence (AI) applications, in particular Convolutional...
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| Publié dans: | Comput Biol Med |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier Ltd.
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8048393/ https://ncbi.nlm.nih.gov/pubmed/33866253 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2021.104375 |
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