Table 9 The results of different pre-trained models as well as Tavakoli et al.50 on the test-B dataset.
Method | Lymp | Neut | Acc (%) | ||||
|---|---|---|---|---|---|---|---|
P (%) | S (%) | F1 (%) | P (%) | S (%) | F1 (%) | ||
ResNet1844 | 21 | 94 | 34 | 100 | 2 | 3 | 8 |
ResNet3444 | 24 | 94 | 38 | 100 | 27 | 43 | 32 |
ResNet5044 | 21 | 95 | 35 | 100 | 2 | 4 | 8 |
ResNext5045 | 24 | 90 | 38 | 100 | 3 | 5 | 9 |
MnasNet148 | 20 | 88 | 33 | 100 | 0 | 0 | 6 |
MobileNet-V247 | 72 | 50 | 59 | 100 | 0 | 0 | 4 |
DenseNet12146 | 43 | 64 | 51 | 100 | 8 | 15 | 12 |
ShuffleNet-V249 | 42 | 75 | 54 | 100 | 0 | 0 | 5 |
VGG1643 | 96 | 89 | 93 | 100 | 65 | 79 | 66 |
Tavakoli et al.50 | 94 | 54 | 69 | 100 | 92 | 96 | 90 |