Table 6 Classification results of the HVU-E classifier with classification layer.
From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification
Model | Precision | Recall | Sensitivity | Specificity | F1 Score |
|---|---|---|---|---|---|
ResVU-E | 0.98 | 0.98 | 0.98 | 0.99 | 0.98 |
VggVU-E | 0.99 | 0.98 | 0.98 | 0.99 | 0.98 |
XceptionVU-E | 0.99 | 0.98 | 0.98 | 0.99 | 0.98 |
DenseVU-E | 0.99 | 0.98 | 0.99 | 0.99 | 0.98 |
