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Chest x-ray image classification for viral pneumonia and Сovid-19 using neural networks

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dc.contributor.authorEfremtsev, V. G.
dc.contributor.authorEfremtsev, N. G.
dc.contributor.authorTeterin, E. P.
dc.contributor.authorBazavluk, E. S.
dc.contributor.authorTeterin, P. E.
dc.contributor.authorТетерин, Пётр Евгеньевич
dc.date.accessioned2024-11-29T12:24:01Z
dc.date.available2024-11-29T12:24:01Z
dc.date.issued2021
dc.description.abstract© 2021, Institution of Russian Academy of Sciences. All rights reserved.The use of neural networks to detect differences in radiographic images of patients with pneumonia and COVID-19 is demonstrated. For the optimal selection of resize and neural network architecture parameters, hyperparameters, and adaptive image brightness adjustment, precision, re-call, and f1-score metrics are used. The high values of these metrics of classification quality (> 0.91) strongly indicate a reliable difference between radiographic images of patients with pneumonia and patients with COVID-19, which opens up the possibility of creating a model with good predictive ability without involving ready-to-use complex models and without pre-training on third-party data, which is promising for the development of sensitive and reliable COVID-19 ex-press-diagnostic methods.
dc.format.extentС. 149-153
dc.identifier.citationChest x-ray image classification for viral pneumonia and Сovid-19 using neural networks / Efremtsev, V.G. [et al.] // Computer Optics. - 2021. - 45. - № 1. - P. 149-153. - 10.18287/2412-6179-CO-765
dc.identifier.doi10.18287/2412-6179-CO-765
dc.identifier.urihttps://www.doi.org/10.18287/2412-6179-CO-765
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85102474957&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000624634200017
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/23779
dc.relation.ispartofComputer Optics
dc.titleChest x-ray image classification for viral pneumonia and Сovid-19 using neural networks
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume45
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