Table 4.
Model | Pretraining method | Classification accuracy [%] | ||
---|---|---|---|---|
Benign | Malignant | Overall | ||
Proposed method (AlexNet) |
None | 51.9 | 84.9 | 70.0 |
ImageNet | 40.7 | 93.9 | 70.0 | |
WGAN (60000) | 66.7 | 93.9 | 81.7 | |
| ||||
GoogLeNet | None | 40.7 | 84.9 | 65.0 |
ImageNet | 48.2 | 87.9 | 70.0 | |
WGAN (60000) | 48.2 | 97.0 | 75.0 | |
| ||||
VGG16 | None | 29.6 | 90.9 | 63.3 |
ImageNet | 33.3 | 87.9 | 63.3 | |
WGAN (60000) | 48.2 | 84.9 | 68.3 |