Xing Deng1,2, Haijian Shao1,2,*, Liang Shi3, Xia Wang4,5, Tongling Xie6
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 579-596, 2020, DOI:10.32604/cmes.2020.011920
- 12 October 2020
Abstract The Coronavirus Disease 2019 (COVID-19) is wreaking havoc
around the world, bring out that the enormous pressure on national health
and medical staff systems. One of the most effective and critical steps in
the fight against COVID-19, is to examine the patient’s lungs based on the
Chest X-ray and CT generated by radiation imaging. In this paper, five
keras-related deep learning models: ResNet50, InceptionResNetV2, Xception, transfer learning and pre-trained VGGNet16 is applied to formulate an
classification–detection approaches of COVID-19. Two benchmark methods
SVM (Support Vector Machine), CNN (Convolutional Neural Networks) are
provided to compare with More >
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