Table 7.
GoogLeNet_Softmax classification result.
Five_Fold cross | Accuracy (/%) | Normal |
Lung tumor |
COVID-19 |
Time (/s) | |||
---|---|---|---|---|---|---|---|---|
Correct | mis_c | Correct | mis_c | Correct | mis_c | |||
Fold1 | 97.33 | 471 | 29 | 497 | 3 | 492 | 8 | 934.31 |
Fold2 | 98.47 | 492 | 8 | 487 | 13 | 498 | 2 | 937.04 |
Fold3 | 97.67 | 488 | 12 | 482 | 18 | 495 | 5 | 930.6 |
Fold4 | 98.73 | 499 | 1 | 487 | 13 | 495 | 5 | 924.04 |
Fold5 | 99.07 | 498 | 2 | 488 | 12 | 500 | 0 | 917.75 |
Average | 98.25 | 2448 | 52 | 2441 | 59 | 2480 | 20 | 928.74 |