Information technology for early diagnosis of pneumonia on individual radiographs

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dc.contributor.authorKrak, Iurii
dc.contributor.authorBarmak, Oleksander
dc.contributor.authorRadiuk, Pavlo
dc.date.accessioned2021-12-14T11:40:37Z
dc.date.available2021-12-14T11:40:37Z
dc.date.issued2020-12-01
dc.descriptionhttp://ceur-ws.org/Vol-2753/paper3.pdfuk_UA
dc.description.abstractNowadays, pneumonia remains a disease with one of the highest death rates around the world. The ailment’s pathogen instantly causes a large amount of fluid into the lungs, leading to acute exacerbation. Without preliminary examination and timely treatment, pneumonia can result in severe pulmonary complications. Consequently, early diagnosis of pneumonia becomes a decisive factor in treatment and monitoring the disease. Therefore, information systems that can identify early pneumonia on the Chest X-ray images are becoming more demanding nowadays. An individual approach to a person might be a promising way of early diagnosis. The presented study considers an approach to feature extraction of the early stage of pneumonia and identifying the disease using a relatively simple convolutional neural network. With only three convolutional and two linearization layers, the proposed architecture classifies radiographs with 90.87% accuracy, approaching the results of deep multilayer and resource-intensive architectures in classification accuracy and exceeding them in time efficiency. Our approach requires relatively fewer computing resources, confirming its efficiency in solving practical tasks on available computing devices.uk_UA
dc.identifier.citationKrak Iu., Barmak O., Radiuk P. Information technology for early diagnosis of pneumonia on individual radiographs // CEUR-Workshop Proceedings. 2020. Vol. 2753. P. 11-21.uk_UA
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/11052
dc.language.isoenuk_UA
dc.publisherCEUR-WSuk_UA
dc.subjectConvolutional neural networkuk_UA
dc.subjectpneumoniauk_UA
dc.subjectearly diagnosisuk_UA
dc.subjectchest X-rayuk_UA
dc.subjectradiographuk_UA
dc.subjectfeature extractionuk_UA
dc.subjectindividual approachuk_UA
dc.titleInformation technology for early diagnosis of pneumonia on individual radiographsuk_UA
dc.typeСтаттяuk_UA
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