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Deep convolution neural networks to differentiate between COVID‐19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets
We aimed to evaluate the performance of convolutional neural networks (CNNs) in the classification of coronavirus disease 2019 (COVID‐19) disease using normal, pneumonia, and COVID‐19 chest radiographs (CXRs). First, we collected 9194 CXRs from open datasets and 58 from the Korea University Anam Hos...
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| Publicado no: | Int J Imaging Syst Technol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley & Sons, Inc.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8239912/ https://ncbi.nlm.nih.gov/pubmed/34219953 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ima.22595 |
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