Research Article
Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks
Table 4
Parameters of different classification models for all classes with the best value in bold (%).
| Classifier | Acc | | MCC | PPV | Spc | Sen |
| InceptionV3 | 97.43 | 96.22 | 94.26 | 96.34 | 98.04 | 96.29 | Xception | 97.86 | 96.64 | 95.21 | 96.54 | 98.45 | 96.87 | InceptionResNetV2 | 93.00 | 90.70 | 86.38 | 91.27 | 95.37 | 90.36 | MobileNet | 98.29 | 97.39 | 96.13 | 97.26 | 98.74 | 97.56 | VGG16 | 98.29 | 97.44 | 96.11 | 97.34 | 98.72 | 97.57 | DenseNet169 | 95.71 | 93.82 | 90.26 | 93.72 | 96.70 | 93.95 | NasNetLarge | 97.00 | 95.22 | 93.20 | 95.25 | 97.77 | 95.24 | DenseNet121 | 95.93 | 93.60 | 90.75 | 94.00 | 96.87 | 93.32 |
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