A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection

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dc.authoridGursoy, Ercan/0000-0001-6974-2705
dc.contributor.authorKaya, Yasin
dc.contributor.authorGursoy, Ercan
dc.date.accessioned2025-01-06T17:37:14Z
dc.date.available2025-01-06T17:37:14Z
dc.date.issued2023
dc.description.abstractCOVID-19 is a virus that causes upper respiratory tract and lung infections. The number of cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a disease in a timely manner, the researchers have focused on computer-aided diagnosis systems. Chest X-rays have helped monitor various lung diseases consisting COVID-19. In this study, we proposed a deep transfer learning approach with novel fine-tuning mechanisms to classify COVID-19 from chest X-ray images. We presented one classical and two new fine-tuning mechanisms to increase the model's performance. Two publicly available databases were combined and used for the study, which included 3616 COVID-19 and 1576 normal (healthy) and 4265 pneumonia X-ray images. The models achieved average accuracy rates of 95.62%, 96.10%, and 97.61%, respectively, for 3-class cases with fivefold cross-validation. Numerical results show that the third model reduced 81.92% of the total fine-tuning operations and achieved better results. The proposed approach is quite efficient compared with other state-of-the-art methods of detecting COVID-19.
dc.identifier.doi10.1007/s00500-022-07798-y
dc.identifier.endpage5535
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.issue9
dc.identifier.pmid36618761
dc.identifier.scopus2-s2.0-85145569964
dc.identifier.scopusqualityQ1
dc.identifier.startpage5521
dc.identifier.urihttps://doi.org/10.1007/s00500-022-07798-y
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2160
dc.identifier.volume27
dc.identifier.wosWOS:000907920500003
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofSoft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectCOVID-19 disease detection
dc.subjectDeep transfer learning
dc.subjectCNN
dc.subjectFine-tuning
dc.subjectMobileNet
dc.titleA MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
dc.typeArticle

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