Table 15 Summary of the HVU-E classifier model.
From: A novel hybrid vision UNet architecture for brain tumor segmentation and classification
Blocks | Layers | Input Size | Filter Size | No. of Filters | Activation Function | Output Size |
|---|---|---|---|---|---|---|
| Â | Input | 256\(\times\)256\(\times\)1 | - | - | - | 256\(\times\)256\(\times\)1 |
Encoder Block-1 | Conv1 | 256\(\times\)256\(\times\)1 | 3\(\times\)3 | 64 | ReLU | 256\(\times\)256\(\times\)64 |
| Â | Conv2 | 256\(\times\)256\(\times\)64 | 3\(\times\)3 | 64 | ReLU | 256\(\times\)256\(\times\)64 |
| Â | MaxPooling | 256\(\times\)256\(\times\)64 | 2\(\times\)2 | - | - | 128\(\times\)128\(\times\)128 |
Encoder Block-2 | Conv1 | 128\(\times\)128\(\times\)64 | 3\(\times\)3 | 128 | ReLU | 128\(\times\)128\(\times\)128 |
| Â | Conv2 | 128\(\times\)128\(\times\)128 | 3\(\times\)3 | 128 | ReLU | 128\(\times\)128\(\times\)128 |
| Â | MaxPooling | 128\(\times\)128\(\times\)128 | 2\(\times\)2 | - | - | 64\(\times\)64\(\times\)128 |
Encoder Block-3 | Conv1 | 64\(\times\)64\(\times\)128 | 3\(\times\)3 | 256 | ReLU | 64\(\times\)64\(\times\)256 |
| Â | Conv2 | 64\(\times\)64\(\times\)256 | 3\(\times\)3 | 256 | ReLU | 64\(\times\)64\(\times\)256 |
| Â | MaxPooling | 64\(\times\)64\(\times\)256 | 2\(\times\)2 | - | - | 32\(\times\)32\(\times\)256 |
Encoder Block-4 | Conv1 | 32\(\times\)32\(\times\)256 | 3\(\times\)3 | 512 | ReLU | 32\(\times\)32\(\times\)512 |
| Â | Conv2 | 32\(\times\)32\(\times\)512 | 3\(\times\)3 | 512 | ReLU | 32\(\times\)32\(\times\)512 |
| Â | MaxPooling | 32\(\times\)32\(\times\)512 | 2\(\times\)2 | - | - | 16\(\times\)16\(\times\)512 |
Encoder Block-5 | Conv1 | 16\(\times\)16\(\times\)512 | 3\(\times\)3 | 1024 | ReLU | 16\(\times\)16\(\times\)1024 |
| Â | Conv2 | 16\(\times\)16\(\times\)1024 | 3\(\times\)3 | 1024 | ReLU | 16\(\times\)16\(\times\)1024 |
Bottleneck Block | ViT | 256\(\times\)256\(\times\)3 | - | - | ReLU | 16\(\times\)16\(\times\)3 |
| Â | Hybrid Model | 256\(\times\)256\(\times\)3 | - | - | ReLU | 16\(\times\)16\(\times\)3 |
| Â | UNet | 16\(\times\)16\(\times\)1024 | - | - | ReLU | 16\(\times\)16\(\times\)1024 |
| Â | Concatenate | 16\(\times\)16\(\times\)1024 | - | - | - | 32\(\times\)32\(\times\)1024 |
Dense Block | Flatten | 16\(\times\)16\(\times\)1024 | - | - | - | 262144\(\times\)1 |
| Â | Dense-1 | 262144\(\times\)1 | - | 128 | ReLU | 128\(\times\)1 |
| Â | Dense-2 | 121\(\times\)1 | - | 64 | ReLU | 64\(\times\)1 |
Output | Dense-3 | 64\(\times\)1 | - | - | Softmax | 3 |
