Identification of COVID-19 on chest radiographs
| Autor: | Ali Hussein Ali, Khalid Murad Abdullah |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International journal of health sciences. :1621-1629 |
| ISSN: | 2550-696X 2550-6978 |
| Popis: | Millions of people have died worldwide as a result of the Covid-19 epidemic, which began in December 2019. We design a method of precisely and quickly diagnosing a patient to lessen the severity. We begin by collecting the chest X-ray dataset, after which we develop the various models utilizing Machine Learning (ML) and Deep Learning (DL) approaches, primarily Convolutional Neural Networks (CNN). The algorithms in question include K-nearest neighbor (K-NN), Random Forest (RF), VGG19, ResNet, DenseNet121, InceptionV3, and Xception, to name a few. We can recognize Covid-19 in the photographs and use these photographs to compare the accuracy of the various models. The best model, according to the results, is VGG19 with fine-tuning, which has a 94.34 percent accuracy. |
| Databáze: | OpenAIRE |
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