Table 5.
AlexNet_Softmax classification results.
Five_fold cross | Accuracy (/%) | Normal lung |
Lung tumor |
COVID-19 |
Time (/s) | |||
---|---|---|---|---|---|---|---|---|
Correct | mis-c | Correct | mis-c | Correct | mis-c | |||
Fold 1 | 97.00 | 473 | 27 | 487 | 13 | 495 | 5 | 342.92 |
Fold 2 | 98.47 | 495 | 5 | 484 | 16 | 498 | 2 | 383.89 |
Fold 3 | 98.07 | 488 | 12 | 486 | 14 | 497 | 3 | 350.25 |
Fold 4 | 98.93 | 494 | 6 | 493 | 7 | 497 | 3 | 347.70 |
Fold 5 | 98.33 | 498 | 2 | 480 | 20 | 497 | 3 | 347.60 |
Average | 98.16 | 2448 | 52 | 2430 | 70 | 2484 | 16 | 354.47 |