Table 7 Classification results of the proposed HVU-E classifier with machine learning algorithms.
From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification
Model | SVM | RF | DT | Ada Boost | LR |
|---|---|---|---|---|---|
ResVU-E | 90.71 | 80.11 | 78.04 | 76.04 | 75.35 |
VggVU-E | 91.81 | 80.07 | 79.42 | 76.17 | 74.72 |
XceptionVU-E | 81.91 | 84.34 | 76.79 | 75.85 | 72.21 |
DenseVU-E | 92.21 | 82.72 | 79.40 | 76.52 | 79.15 |
