Table 3.
Classification result on crc lnm metastasis classification
| Method | Sensitivity | Specificity | PPV | NPV | Accuracy | AUC |
|---|---|---|---|---|---|---|
| AlexNet model | 0.6708 | 0.6711 | 0.6714 | 0.6706 | 0.6716 | 0.7696 |
| AlexNet-pretrained model | 0.8004 | 0.7997 | 0.7992 | 0.8009 | 0.7583 | 0.7941 |
| CNN-AlexNet with SVM | 0.7015 | 0.7015 | 0.7015 | 0.7015 | 0.6920 | 0.7702 |
| DDC | 0.5 | 0.3478 | 0.7196 | 0.1720 | 0.4670 | – |
| DAN | 0.4393 | 0.4815 | 0.8444 | 0.1182 | 0.4834 | – |
| ResNet152 | 0.6801 | 0.6801 | 0.6801 | 0.6801 | 0.6801 | 0.7327 |
| DenseNet161 | 0.625 | 0.625 | 0.625 | 0.625 | 0.625 | 0.6281 |
| Ours | 0.8732 | 0.8741 | 0.8746 | 0.8728 | 0.8358 | 0.8569 |
‘ – ’ indicates the value of AUC less than 0.5