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Lung Inflammatory Classification of Diseases using X-ray Images

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dc.contributor.author Mohanned, Hamza Haruna
dc.contributor.author Sürücü, Selim
dc.contributor.author Choupani, Roya
dc.date.accessioned 2024-03-21T12:53:39Z
dc.date.available 2024-03-21T12:53:39Z
dc.date.issued 2021
dc.identifier.citation Mohanned, Hamza Haruna; Sürücü, Selim; Choupani, Roya. "Lung Inflammatory Classification of Diseases using X-ray Images", International Conference on Computer Science and Engineering (UBMK), 15-17 September 2021, Ankara. tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/7694
dc.description.abstract Recently, studies in inflammatory diseases categorization become of interest in the research community, especially with the sudden outbreak of the Covid-19 virus. Transfer learning proved to be the state-of-the-art when it comes to image classification problems, or related tasks. These methods achieve good results in this type of applications. Lately, this pre-trained embedding became even popular due to X-ray related studies for early Covid-19 diagnosis. In this study, we investigate the X-ray image classification problem using the transfer learning method. We fine-tuned and trained our model using pre-trained models such as AlexNet, VGG16, DenseNet etc, and a baseline deep neural network. We then evaluated this model in terms of classification evaluation metrics. The study shows that DenseNet achieves high accuracy compared to the other pre-trained and baseline CNN models. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1109/UBMK52708.2021.9558905 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject COVID-19 tr_TR
dc.subject Measurement tr_TR
dc.subject Deep Learning tr_TR
dc.subject Computational Modeling tr_TR
dc.subject Transfer Learning tr_TR
dc.subject Lung tr_TR
dc.subject Coronaviruses tr_TR
dc.title Lung Inflammatory Classification of Diseases using X-ray Images tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal International Conference on Computer Science and Engineering (UBMK) tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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