Table 2 Training, validation, and test accuracy of HVU-ED segmenter model on BraTS dataset.
From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification
Model | Training Accuracy (%) | Validation Accuracy (%) | Test Accuracy (%) |
|---|---|---|---|
ResVU-ED | 98.7 | 97.01 | 96.5 |
VggVU-ED | 99.3 | 98.27 | 97.8 |
XceptionVU-ED | 98.7 | 97.01 | 96.5 |
DenseVU-ED | 99.6 | 98.91 | 98.2 |
