Journal of Personalized Medicine, Volume 11, Issue 1
2021 January - 60 articles
Cover Story: The impact of COVID-19 is most noticeable in the healthcare system, mostly due to the accelerated and increased influx of patients with a more severe clinical picture. These facts are increasing pressure on health systems. For this reason, the aim is to automate the process of diagnosis and treatment. In the present research, an approach based on a convolutional neural network is utilized to classify X-ray images of lungs in four classes according to the clinical picture. The classification algorithm, based on the ResNet architecture, with its high performance indicates the possibility of automatic evaluation of the lungs of COVID-19 patients. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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