An enhanced convolutional neural network for COVID-19 detection

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dc.contributor.authorAl-Janabi, Sameer I. Ali
dc.contributor.authorAl-Khateeb, Belal
dc.contributor.authorMahmood, Maha
dc.contributor.authorGarcía-Zapirain, Begoña
dc.date.accessioned2025-08-12T08:47:28Z
dc.date.available2025-08-12T08:47:28Z
dc.date.issued2021-04-01
dc.date.updated2025-08-12T08:47:28Z
dc.description.abstractThe recent novel coronavirus (COVID-19, as the World Health Organization has called it) has proven to be a source of risk for global public health. The virus, which causes an acute respiratory disease in persons, spreads rapidly and is now threatening more than 150 countries around the world. One of the essential procedures that patients with COVID-19 need is an accurate and rapid screening process. In this research, utilizing the features of deep learning methods, we present a method for detecting COVID-19 and a screening model that uses pulmonary computed tomography images to differentiate COVID-19 pneumonia from healthy cases. In this study, 256 cases (128 COVID-19, 128 normal) are used to detect COVID-19 early. Real cases of 51 external COVID-19 images are also taken from Iraqi hospitals and used to validate the proposed method. Segmentations of the lung and infection fields are retrieved from the images during preprocessing. The total accuracy obtained from the results is 98.70%, indicating the success of the designed model.en
dc.identifier.citationAl-Janabi, S. I. A., Al-Khateeb, B., Mahmood, M., & Garcia-Zapirain, B. (2021). An enhanced convolutional neural network for COVID-19 detection. Intelligent Automation and Soft Computing, 28(2), 293-303. https://doi.org/10.32604/IASC.2021.014419
dc.identifier.doi10.32604/IASC.2021.014419
dc.identifier.eissn2326-005X
dc.identifier.issn1079-8587
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3354
dc.language.isoeng
dc.publisherTech Science Press
dc.rights© 2021 The Author(s)
dc.subject.otherConvolution neural network
dc.subject.otherCOVID-19
dc.subject.otherDeep learning
dc.subject.otherX-ray
dc.titleAn enhanced convolutional neural network for COVID-19 detectionen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage303
oaire.citation.issue2
oaire.citation.startPage293
oaire.citation.titleIntelligent Automation and Soft Computing
oaire.citation.volume28
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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