Table 9 Brain tumor classification results for ResNet101 + Xception integrated using feature fusion technique.
Fold | Accuracy | Precision | Recall | F1-score | ||||
---|---|---|---|---|---|---|---|---|
Tumor | No tumor | Tumor | No tumor | Tumor | No tumor | Tumor | No tumor | |
1 | 0.973 | 0.973 | 0.976 | 0.970 | 0.970 | 0.976 | 0.973 | 0.973 |
2 | 0.968 | 0.968 | 0.976 | 0.960 | 0.960 | 0.976 | 0.968 | 0.968 |
3 | 0.970 | 0.970 | 0.976 | 0.963 | 0.963 | 0.976 | 0.970 | 0.970 |
4 | 0.970 | 0.970 | 0.976 | 0.963 | 0.963 | 0.976 | 0.970 | 0.970 |
5 | 0.975 | 0.975 | 0.976 | 0.973 | 0.973 | 0.976 | 0.975 | 0.975 |