Table 9.
ResNet_Softmax classification result.
Five_fold cross | Accuracy (/%) | Normal |
Lung tumor |
COVID-19 |
Time (/s) | |||
---|---|---|---|---|---|---|---|---|
Correct | mis_c | Correct | mis_c | Correct | mis_c | |||
Fold1 | 98.00 | 481 | 19 | 495 | 5 | 494 | 6 | 998.46 |
Fold2 | 98.53 | 490 | 10 | 490 | 10 | 498 | 2 | 1023.85 |
Fold3 | 98.53 | 495 | 5 | 483 | 17 | 500 | 0 | 985.42 |
Fold4 | 99.00 | 494 | 6 | 492 | 8 | 499 | 1 | 978.73 |
Fold5 | 98.73 | 495 | 5 | 492 | 8 | 494 | 6 | 966.46 |
Average | 98.56 | 2455 | 45 | 2452 | 48 | 2485 | 15 | 990.58 |