Table 10.
Comparison of the lung Chest X-ray models for multiclass classification.
| Ref. | Method | Dataset |
Performance (%) |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Covid | Total | Acc | Sen | Spe | Prec | F1_ score | Dice | MCC | Kappa | Jaccard | ||
| [10] | Seven different CNN networks | 3616 | 18479 | 96.29 | 97.2 | – | 96.28 | |||||
| Unet network | 3616 | 18479 | 98.63 | 96.94 | ||||||||
| [44] | Inception-V3, Xception, ResNet |
490 | 6432 | 96.00 | 92.00 | |||||||
| [11] | Bayes-SqueezeNet | 76 | 5949 | 98.3 | 98.3 | 97.4 | ||||||
| [45] | ResNet101 | 1765 | 5982 | 71.9 | 77.3 | 71.8 | – | – | – | – | – | – |
| [25] | ResNet34 | 203 | 406 | 98.3 | 1 | 96.67 | 96.7 | 98.36 | – | – | – | – |
| [46] | VGG19 | 224 | 1427 | 93.48 | 92.85 | 98.75 | ||||||
| [46] | MobileNet v2 | 224 | 1427 | 92.85 | 99.10 | 97.09 | ||||||
| Our study | Thirteen different CNN networks | 3616 | 15153 | 99.14 | 97.98 | 99.56 | 98.8 | 99.58 | 98.83 | 97.8 | 98.1 | 97.6 |