Mohammad Shorfuzzaman1, *, Mehedi Masud1
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1359-1381, 2020, DOI:10.32604/cmc.2020.011326
- 30 June 2020
Abstract Coronavirus disease (COVID-19) is an extremely infectious disease and
possibly causes acute respiratory distress or in severe cases may lead to death. There has
already been some research in dealing with coronavirus using machine learning
algorithms, but few have presented a truly comprehensive view. In this research, we show
how convolutional neural network (CNN) can be useful to detect COVID-19 using chest
X-ray images. We leverage the CNN-based pre-trained models as feature extractors to
substantiate transfer learning and add our own classifier in detecting COVID-19. In this
regard, we evaluate performance of five different pre-trained… More >
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