Automated detection of COVID-19 through convolutional neural network using chest x-ray images
The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the COVID-19, timely and accurate classification of h...
Main Authors: | Rubina Sarki, Khandakar Ahmed, Hua Wang, Yanchun Zhang, Kate Wang |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782355/?tool=EBI |
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