COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images

The outbreaks of Coronavirus (COVID-19) epidemic have increased the pressure on healthcare and medical systems worldwide. The timely diagnosis of infected patients is a critical step to limit the spread of the COVID-19 epidemic. The chest radiography imaging has shown to be an effective screening te...

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Detalles Bibliográficos
Autores principales: Al-Waisy, Alaa S., Al-Fahdawi, Shumoos, Mohammed, Mazin Abed, Abdulkareem, Karrar Hameed, Mostafa, Salama A., Maashi, Mashael S., Arif, Muhammad, Garcia-Zapirain, Begonya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Focus
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679792/
https://www.ncbi.nlm.nih.gov/pubmed/33250662
http://dx.doi.org/10.1007/s00500-020-05424-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679792/
https://www.ncbi.nlm.nih.gov/pubmed/33250662
http://dx.doi.org/10.1007/s00500-020-05424-3

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