COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans

In this paper we propose two novel deep convolutional network architectures, CovidResNet and CovidDenseNet, to diagnose COVID-19 based on CT images. The models enable transfer learning between different architectures, which might significantly boost the diagnostic performance. Whereas novel architec...

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Detalles Bibliográficos
Autores principales: Alshazly, Hammam, Linse, Christoph, Abdalla, Mohamed, Barth, Erhardt, Martinetz, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330434/
https://www.ncbi.nlm.nih.gov/pubmed/34401477
http://dx.doi.org/10.7717/peerj-cs.655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330434/
https://www.ncbi.nlm.nih.gov/pubmed/34401477
http://dx.doi.org/10.7717/peerj-cs.655

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