Table 3.
In comparing the network segmentation results of the cerebrovascular dataset under different patch sizes (without post-processing), the red bold is the best result.
| Patch Size | 16 × 16 × 32 | 32 × 32 × 32 | ||||||
|---|---|---|---|---|---|---|---|---|
| Network | Pre (%) | Re (%) | Di (%) | IoU (%) | Pre (%) | Re (%) | Di (%) | IoU (%) |
| VoxResnet [59] | 83.75 ± 1.95 | 85.76 ± 1.40 | 84.73 ± 1.24 | 73.51 ± 1.84 | 83.75 ± 1.95 | 85.76 ± 1.40 | 84.73 ± 1.24 | 73.51 ± 1.84 |
| Resnet (deep = 18) [60] | 82.10 ± 1.78 | 79.40 ± 1.25 | 80.20 ± 1.96 | 66.94 ± 2.01 | 83.40 ± 1.09 | 80.00 ± 1.56 | 81.70 ± 1.21 | 69.06 ± 1.43 |
| U-Net [13] | 86.33 ± 1.54 | 87.17 ± 0.79 | 86.74 ± 0.72 | 76.58 ± 1.11 | 72.27 ± 1.74 | 79.64 ± 1.05 | 75.75 ± 0.56 | 60.97 ± 0.72 |
| Attention U-Net [17] | 83.79 ± 2.22 | 85.85 ± 1.23 | 84.78 ± 0.82 | 73.58 ± 1.23 | 87.39 ± 1.83 | 84.89 ± 1.55 | 84.92 ± 0.66 | 73.79 ± 1.07 |
| Attention U-Net (MSFA) | 88.14 ± 1.75 | 85.86 ± 1.10 | 85.96 ± 0.77 | 75.38 ± 1.22 | 87.98 ± 1.87 | 85.95 ± 1.64 | 85.88 ± 0.64 | 75.25 ± 1.12 |
| Rattention U-Net [50] | 86.41 ± 1.00 | 86.61 ± 0.65 | 87.90 ± 0.52 | 78.41 ± 0.51 | 88.01 ± 2.97 | 86.40 ± 1.81 | 88.02 ± 0.93 | 78.60 ± 1.36 |
| Rattention U-Net (MSFA) | 86.47 ± 2.43 | 87.71 ± 1.22 | 87.97 ± 0.82 | 78.52 ± 1.22 | 89.77 ± 1.59 | 88.04 ± 1.76 | 88.17 ± 0.73 | 78.84 ± 1.18 |
| UARAI (Ours) | 90.82 ± 1.88 | 86.79 ± 0.94 | 88.93 ± 1.11 | 80.07 ± 1.74 | 91.60 ± 1.33 | 87.61 ± 0.95 | 89.03 ± 0.80 | 80.23 ± 1.31 |
| Patch Size | 64 × 64 × 32 | 96 × 96 × 32 | ||||||
| Network | Pre (%) | Re (%) | Di (%) | IoU (%) | Pre (%) | Re (%) | Di (%) | IoU (%) |
| VoxResnet [59] | 83.75 ± 1.95 | 85.76 ± 1.40 | 84.73 ± 1.24 | 73.51 ± 1.84 | 83.75 ± 1.95 | 85.76 ± 1.40 | 84.73 ± 1.24 | 73.51 ± 1.84 |
| Resnet (deep = 18) [60] | 82.10 ± 1.78 | 79.40 ± 1.25 | 80.20 ± 1.96 | 66.94 ± 2.01 | 83.40 ± 1.09 | 80.00 ± 1.56 | 81.70 ± 1.21 | 69.06 ± 1.43 |
| U-Net [13] | 86.33 ± 1.54 | 87.17 ± 0.79 | 86.74 ± 0.72 | 76.58 ± 1.11 | 72.27 ± 1.74 | 79.64 ± 1.05 | 75.75 ± 0.56 | 60.97 ± 0.72 |
| Attention U-Net [17] | 83.79 ± 2.22 | 85.85 ± 1.23 | 84.78 ± 0.82 | 73.58 ± 1.23 | 87.39 ± 1.83 | 84.89 ± 1.55 | 84.92 ± 0.66 | 73.79 ± 1.07 |
| Attention U-Net (MSFA) | 88.14 ± 1.75 | 85.86 ± 1.10 | 85.96 ± 0.77 | 75.38 ± 1.22 | 87.98 ± 1.87 | 85.95 ± 1.64 | 85.88 ± 0.64 | 75.25 ± 1.12 |
| Rattention U-Net [50] | 86.41 ± 1.00 | 86.61 ± 0.65 | 87.90 ± 0.52 | 78.41 ± 0.51 | 88.01 ± 2.97 | 86.40 ± 1.81 | 88.02 ± 0.93 | 78.60 ± 1.36 |
| Rattention U-Net (MSFA) | 86.47 ± 2.43 | 87.71 ± 1.22 | 87.97 ± 0.82 | 78.52 ± 1.22 | 89.77 ± 1.59 | 88.04 ± 1.76 | 88.17 ± 0.73 | 78.84 ± 1.18 |
| UARAI (Ours) | 90.82 ± 1.88 | 86.79 ± 0.94 | 88.93 ± 1.11 | 80.07 ± 1.74 | 91.60 ± 1.33 | 87.61 ± 0.95 | 89.03 ± 0.80 | 80.23 ± 1.31 |
| Patch Size | 128 × 128 × 32 | |||||||
| Network | Pre (%) | Re (%) | Di (%) | IoU (%) | ||||
| VoxResnet [59] | 83.75 ± 1.95 | 85.76 ± 1.40 | 84.73 ± 1.24 | 73.51 ± 1.84 | ||||
| Resnet (deep = 18) [60] | 83.10 ± 1.52 | 74.00 ± 1.12 | 80.90 ± 0.88 | 67.93 ± 0.81 | ||||
| U-Net [13] | 79.50 ± 3.60 | 83.25 ± 3.01 | 81.24 ± 2.11 | 68.41 ± 3.02 | ||||
| Attention U-Net [17] | 76.70 ± 2.01 | 86.42 ± 2.69 | 81.21 ± 1.15 | 68.36 ± 1.69 | ||||
| Attention U-Net (MSFA) | 80.45 ± 1.42 | 86.56 ± 1.23 | 83.45 ± 0.56 | 71.60 ± 1.17 | ||||
| Rattention U-Net [50] | 89.20 ± 1.30 | 85.94 ± 1.70 | 88.93 ± 0.77 | 80.07 ± 1.27 | ||||
| Rattention U-Net (MSFA) | 90.02 ± 1.16 | 86.79 ± 0.97 | 88.82 ± 0.73 | 79.89 ± 1.19 | ||||
| UARAI (Ours) | 90.14 ± 1.36 | 85.40 ± 1.39 | 88.82 ± 0.61 | 79.89 ± 1.00 | ||||