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CTCovid19: automatic Covid-19 model for computed tomography scans using deep learning

2025Artigo científico Acesso aberto
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datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorAntunes, Carlos
dc.contributor.authorRodrigues, Joao
dc.contributor.authorCunha, António
dc.date.accessioned2026-05-06T16:12:51Z
dc.date.available2026-05-06T16:12:51Z
dc.date.issued2025
dc.description.abstractCOVID-19 is an extremely contagious respiratory sickness instigated by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Common symptoms encompass fever, cough, fatigue, and breathing difficulties, often leading to hospitalization and fatalities in severe cases. CTCovid19 is a novel model tailored for COVID-19 detection, specifically honing in on a distinct deep learning structure, ResNet-50 trained with ImageNet serves as the foundational framework for our model. To enhance its capability to capture pertinent features related to COVID-19 patterns in Computed Tomography scans, the network underwent fine-tuning through layer adjustments and the addition of new ones. The model achieved accuracy rates that went from 97.0 % to 99.8 % across three widely recognized and documented datasets dedicated to COVID-19 detection.eng
dc.description.sponsorshipUIDP/04516/2020; UIDB/00319/2020
dc.identifier.doi10.1016/j.ibmed.2024.100190
dc.identifier.issn2666-5212
dc.identifier.urihttp://hdl.handle.net/10400.1/28871
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationNOVA Laboratory for Computer Science and Informatics
dc.relation.ispartofIntelligence-Based Medicine
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectDeep Learning
dc.subjectCT scans
dc.subjectCovid-19
dc.subjectConvolutional neural network
dc.subjectExplainable artificial intelligence
dc.titleCTCovid19: automatic Covid-19 model for computed tomography scans using deep learningeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04516/2020
oaire.awardTitleNOVA Laboratory for Computer Science and Informatics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT
oaire.citation.startPage100190
oaire.citation.titleIntelligence-Based Medicine
oaire.citation.volume11
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRodrigues
person.givenNameJoao
person.identifier.ciencia-id8A19-98F7-9914
person.identifier.orcid0000-0002-3562-6025
person.identifier.scopus-author-id55807461600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication683ba85b-459c-4789-a4ff-a4e2a904b295
relation.isAuthorOfPublication.latestForDiscovery683ba85b-459c-4789-a4ff-a4e2a904b295
relation.isProjectOfPublication1122b3d4-9740-4ad7-9abf-86bb7a3615da
relation.isProjectOfPublication.latestForDiscovery1122b3d4-9740-4ad7-9abf-86bb7a3615da

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