A comparative study on wavelet denoising for high noisy CT images of COVID-19 disease

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dc.authoridGUNGOR, Murat Alparslan / 0000-0001-7446-7808
dc.authorwosidGUNGOR, Murat Alparslan / AAO-7690-2021
dc.contributor.authorGungor, Murat Alparslan
dc.date.accessioned2021-11-01T15:05:24Z
dc.date.available2021-11-01T15:05:24Z
dc.date.issued2021
dc.department[Belirlenecek]
dc.description.abstractCoronavirus disease (COVID-19), detected in Wuhan City, Hubei Province, China, is a pandemic disease and affecting all people in the world. Real-time reverse transcription polymerase chain reaction (RT-PCR) test is the standard clinical tool for the diagnosis of COVID-19. Computed Tomography (CT) is an alternative method to RT-PCR test for the diagnosis of COVID-19 due to some disadvantages of the RT-PCR test. In this method, the target is to determine coronavirus pneumonia from CT images. However, high noise decreases the image quality, so a noise reduction filter is used. The wavelet functions are widely used to reduce noise in images. In this study, a performance comparison of the different wavelet functions in CT image denoising is proposed. Significant remarks are obtained from the analysis to improve the quality for CT exams of COVID-19 disease.
dc.identifier.doi10.1016/j.ijleo.2021.166652
dc.identifier.issn0030-4026
dc.identifier.issn1618-1336
dc.identifier.pmid33688101
dc.identifier.scopus2-s2.0-85102053561
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.ijleo.2021.166652
dc.identifier.urihttps://hdl.handle.net/11491/7260
dc.identifier.volume235en_US
dc.identifier.wosWOS:000635196700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthor[Belirlenecek]
dc.language.isoen
dc.publisherElsevier Gmbh
dc.relation.ispartofOptik
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCoronavirusen_US
dc.subjectCovid-19en_US
dc.subjectWavelet denoisingen_US
dc.subjectComputed tomographyen_US
dc.titleA comparative study on wavelet denoising for high noisy CT images of COVID-19 disease
dc.typeArticle

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