Table 3 Results of the proposed HVU-ED segmenter model.
From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification
Model | Precision | Recall | Sensitivity | Specificity |
|---|---|---|---|---|
ResVU-ED | 0.97 | 0.98 | 0.97 | 0.99 |
VggVU-ED | 0.98 | 0.98 | 0.98 | 0.99 |
XceptionVU-ED | 0.97 | 0.98 | 0.97 | 0.97 |
DenseVU-ED | 0.98 | 0.99 | 0.99 | 0.99 |
