COVID-CXNet uses deep convolutional neural networks in a large dataset . It is demonstrated that simple models, alongside the majority of pretrained networks in the literature, focus on irrelevant features for decision-making . This powerful model is capable of detecting the novel coronavirus pneumonia based on relevant and meaningful features with precise localization . It’s the first step towards a fully automated and robust COV-19 detection system, according to the authors of the study . The researchers hope to use the data to develop a more robust and automated system for the detection of the new strain of pneumonia . Back to Mail Online home .Back to the page you came from :http://www.mailonlineonline.com/news/newsnet/coVID-cxNet .

Links: PDF - Abstract

Code :

https://github.com/armiro/COVID-CXNet

Keywords : covid - cxnet - robust - pneumonia - automated -

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