A vision transformer machine learning model for COVID-19 diagnosis using chest X-ray images
This study leverages machine learning to enhance the diagnostic accuracy of COVID-19 using chest X-rays. The study evaluates various architectures, including efficient neural networks (EfficientNet), multiscale vision transformers (MViT), efficient vision transformers (EfficientViT), and vision tran...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | anglès |
| Publicat: |
2024
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| Accés en línia: | https://doi.org/10.1016/j.health.2024.100332 |
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