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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Bibliographic Details
Main Authors: Hammam Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz
Format: Article
Language:English
Published: PeerJ Inc. 2021-07-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-655.pdf