Table 21.
Comparison of the best results obtained in experiments (COVID-19 Pneumonia/Other Pneumonia classification)
| CNN type | Input type | SEN | SPE | ACC | F-1 | AUC | CPU time |
|---|---|---|---|---|---|---|---|
| 2D-Mobilenetv2 | Original + LE | 0.99559 | 0.99649 | 0.99609 | 0.99559 | 0.99953 | 1.61581 |
| 2D-Resnet101 | Original + LBP | 0.99442 | 0.99485 | 0.99466 | 0.99398 | 0.99959 | 3.37402 |
| 2D-Googlenet | Original + LBP + LE | 0.99442 | 0.99485 | 0.99466 | 0.99398 | 0.99942 | 0.92986 |
| 2D-Googlenet | Original | 0.98737 | 0.99743 | 0.99297 | 0.99203 | 0.99922 | 0.77573 |
| 2D-Googlenet | Original + LBP | 0.99090 | 0.99602 | 0.99375 | 0.99294 | 0.99957 | 0.85580 |
| 24-layers 3D-CNN | (Original + LE) × 12 | 0.99618 | 0.99392 | 0.99492 | 0.99428 | 0.99971 | 4.93204 |
| 24-layers 3D-CNN | (LBP) × 24 | 0.99559 | 0.99672 | 0.99622 | 0.99574 | 0.99976 | 4.98608 |
| 24-layers 3D-CNN | (Original + LBP + LE) × 8 | 0.99589 | 0.99555 | 0.99570 | 0.99516 | 0.99981 | 5.08685 |
The highest results obtained are marked in bold