Research Article
Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19
Table 2
State-of-the-art deep neural networks for diagnosing COVID-19 from chest CT images.
| Authors and year | Deep network | Classes | Performance metrics (overall accuracies) |
| Wang et al., (2020) [18] | DeCovNet | COVID-19 and non-COVID-19 | 90.1% | Singh et al., (2020) [19] | ResNet-18 | COVID-19 and non-COVID-19 | 99.4% | Ahuja et al., (2020) [20] | MODE-based CNN | COVID-19 and non-COVID-19 | 93.3% | Jaiswal et al., (2020) [21] | DenseNet-201 | COVID-19 and non-COVID-19 | 97% | Ko et al., (2020) [22] | ResNet-50 | COVID-19, pneumonia, nonpneumonia | 96.97% |
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