Classification of COVID-19 patients from chest CT images using multi-objective differential evolutio...
Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
About this item
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR), chest computed tomography (CT) imaging may be a significantly more trustworthy, useful, and rapid technique to classify and evaluate COVID-19, specifically in the epidem...
Alternative Titles
Full title
Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7183816
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7183816
Other Identifiers
ISSN
0934-9723
E-ISSN
1435-4373
DOI
10.1007/s10096-020-03901-z
