Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Author:

Heidari Morteza,Mirniaharikandehei Seyedehnafiseh,Khuzani Abolfazl Zargari,Danala Gopichandh,Qiu Yuchen,Zheng Bin

Funder

National Cancer Institute

Stephenson Cancer Center, University of Oklahoma

Publisher

Elsevier BV

Subject

Health Informatics

Reference31 articles.

1. Clinical and computed tomographic (CT) images characteristics in the patients with COVID-19 infection: what should radiologists need to know;Lei;J. Xray Sci. Technol.,2020

2. Automatic detection of coronavirus disease (covid-19) using x-ray images and deep convolutional neural networks;Narin;arXiv preprint arXiv:2003.10849,2020

3. CT imaging and differential diagnosis of COVID-19;Dai;Can. Assoc. Radiol. J.,2020

4. New machine learning method for image-based diagnosis of COVID-19;Abd;PLoS One,2020

5. A deep learning algorithm using CT images to screen for corona virus disease (COVID-19);Wang;MedRxiv,2020

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