Table 6.
Ablation experiments based on 10-fold cross-validation on the training dataset.
| DenseNet |
|
|
- |
|
|
|
|
|---|---|---|---|---|---|---|---|
| Bi-LSTM | - |
|
|
- |
|
|
|
| Channel-attention | - | - |
|
|
|
- |
|
| Ensemble | - | - | - | - | - |
|
|
| Sn | 0.8415 | 0.8373 | 0.8015 | 0.7804 | 0.8206 | 0.8550 | 0.8319 |
| Sp | 0.7126 | 0.7433 | 0.7931 | 0.7926 | 0.7657 | 0.7344 | 0.7726 |
| Acc | 0.7735 | 0.7887 | 0.7960 | 0.7855 | 0.7923 | 0.7935 | 0.8007 |
| MCC | 0.5643 | 0.5875 | 0.5949 | 0.5806 | 0.5894 | 0.5940 | 0.6064 |
| AUC | 0.8649 | 0.8684 | 0.8739 | 0.8737 | 0.8704 | 0.8764 | 0.8774 |