Table 1 Detailed architecture of MultiDimensionalU-CNN
From: Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network
MultiDimensionalU-CNN | |||||
|---|---|---|---|---|---|
Block Name (B) | Size of the Filter | No. of filters | Convolution Path | Size of the Filter | No. of filters |
MultiDimensional B1 | 2D-conv(3,3) | 7 | encoder-decoder convolution path-1 | 2D-conv(3,3) | 16 |
2D-conv(3,3) | 18 | 2D-conv(3,3) | 16 | ||
MultiDimensional B9 | 2D-conv(3,3) | 26 | 2D-conv(3,3) | 32 | |
2D-conv(1,1) | 52 | 2D-conv(1,1) | 32 | ||
MultiDimensional B2 | 2D-conv(3,3) | 18 | 2D-conv(3,3) | 32 | |
2D-conv(3,3) | 36 | 2D-conv(3,3) | 32 | ||
MultiDimensional B8 | 2D-conv(3,3) | 54 | 2D-conv(3,3) | 32 | |
2D-conv(1,1) | 106 | 2D-conv(1,1) | 32 | ||
MultiDimensional B3 | 2D-conv(3,3) | 36 | encoder-decoder convolution path-2 | 2D-conv(3,3) | 64 |
2D-conv(3,3) | 73 | 2D-conv(3,3) | 64 | ||
MultiDimensional B7 | 2D-conv(3,3) | 107 | 2D-conv(3,3) | 64 | |
2D-conv(1,1) | 214 | 2D-conv(1,1) | 64 | ||
MultiDimensional B4 | 2D-conv(3,3) | 72 | 2D-conv(3,3) | 64 | |
2D-conv(3,3) | 144 | 2D-conv(3,3) | 64 | ||
MultiDimensional B6 | 2D-conv(3,3) | 216 | encoder-decoder convolution path-3 | 2D-conv(3,3) | 128 |
2D-conv(1,1) | 428 | 2D-conv(1,1) | 128 | ||
MultiDimensional B5 | 2D-conv(3,3) | 146 | 2D-conv(3,3) | 128 | |
2D-conv(3,3) | 292 | 2D-conv(3,3) | 128 | ||
2D-conv(3,3) | 428 | encoder-decoder convolution path-4 | 2D-conv(3,3) | 256 | |
2D-conv(1,1) | 856 | 2D-conv(1,1) | 256 | ||