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Research on Classification of COVID-19 Chest X-Ray Image Modal Feature Fusion Based on Deep Learning
Most detection methods of coronavirus disease 2019 (COVID-19) use classic image classification models, which have problems of low recognition accuracy and inaccurate capture of modal features when detecting chest X-rays of COVID-19. This study proposes a COVID-19 detection method based on image moda...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387167/ https://www.ncbi.nlm.nih.gov/pubmed/34457220 http://dx.doi.org/10.1155/2021/6799202 |