Table 11 Training and non-training parameters of the proposed HVU model .
From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification
Model | Layers in Hybrid models | Trainable Parameters | Non-Trainable Parameters | Total Parameters |
|---|---|---|---|---|
ResVU-ED | 16 | 4,17,03,556 | 40,320 | 4,17,43,876 |
VggVU-ED | 17 | 5,21,22,820 | 11,776 | 5,21,34,596 |
XceptionVU-ED | 60 | 4,84,57,644 | 57,088 | 4,85,14,732 |
DenseVU-ED | 5 | 3,68,92,164 | 65,216 | 3,69,57,380 |
