Table 5 Training, validation, and test accuracy of HVU-E classifier on brain tumor dataset.
From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification
Model | Training Accuracy (%) | Validation Accuracy (%) | Test Accuracy (%) |
|---|---|---|---|
ResVU-E | 99.1 | 98.04 | 97.6 |
VggVU-E | 99.4 | 98.01 | 97.8 |
XceptionVU-E | 99.5 | 98.30 | 98.0 |
DenseVU-E | 99.34 | 99.18 | 98.7 |
