Table 4.
In comparing the network segmentation results of the airway 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] | 93.89 ± 2.03 | 90.65 ± 2.51 | 92.21 ± 1.73 | 85.54 ± 2.99 | 93.89 ± 2.03 | 90.65 ± 2.51 | 92.21 ± 1.73 | 85.54 ± 2.99 |
| Resnet (deep = 18) [60] | 75.90 ± 6.25 | 80.25 ± 5.01 | 79.16 ± 4.98 | 65.51 ± 6.98 | 77.54 ± 5.92 | 85.36 ± 5.21 | 82.31 ± 5.37 | 69.94 ± 6.02 |
| U-Net [13] | 81.20 ± 7.52 | 87.17 ± 5.45 | 83.83 ± 5.10 | 72.16 ± 7.42 | 93.81 ± 1.94 | 89.00 ± 3.13 | 90.12 ± 2.01 | 82.02 ± 3.44 |
| Attention U-Net [17] | 81.39 ± 7.97 | 85.88 ± 5.54 | 80.90 ± 5.46 | 67.93 ± 7.55 | 94.44 ± 5.28 | 90.77 ± 2.65 | 92.50 ± 3.47 | 86.05 ± 5.50 |
| Attention U-Net (MSFA) | 81.40 ± 6.88 | 86.23 ± 5.39 | 84.83 ± 4.33 | 73.66 ± 6.51 | 96.86 ± 1.49 | 89.78 ± 3.14 | 92.86 ± 1.93 | 86.67 ± 3.31 |
| Rattention U-Net [50] | 54.88 ± 15.99 | 86.92 ± 5.81 | 66.37 ± 10.59 | 49.67 ± 12.78 | 95.28 ± 3.63 | 90.08 ± 2.75 | 92.55 ± 2.34 | 86.13 ± 3.97 |
| Rattention U-Net (MSFA) | 62.79 ± 12.16 | 85.81 ± 4.80 | 71.08 ± 9.17 | 55.13 ± 10.28 | 96.75 ± 1.36 | 89.77 ± 3.33 | 93.01 ± 1.97 | 86.93 ± 3.35 |
| UARAI (Ours) | 83.22 ± 7.44 | 88.72 ± 4.61 | 85.62 ± 4.54 | 74.86 ± 6.82 | 96.95 ± 4.35 | 89.94 ± 2.30 | 93.04 ± 2.34 | 86.99 ± 3.95 |
| Patch size | 64 × 64 × 32 | 96 × 96 × 32 | ||||||
| Network | Pre (%) | Re (%) | Di (%) | IoU (%) | Pre (%) | Re (%) | Di (%) | IoU (%) |
| VoxResnet [59] | 93.89 ± 2.03 | 90.65 ± 2.51 | 92.21 ± 1.73 | 85.54 ± 2.99 | 93.89 ± 2.03 | 90.65 ± 2.51 | 92.21 ± 1.73 | 85.54 ± 2.99 |
| Resnet (deep = 18) [60] | 82.97 ± 2.21 | 86.25 ± 3.08 | 85.19 ± 2.72 | 74.20 ± 4.21 | 82.91 ± 3.27 | 85.00 ± 4.21 | 84.99 ± 3.10 | 73.90 ± 5.13 |
| U-Net [13] | 95.79 ± 3.83 | 90.00 ± 2.57 | 92.73 ± 2.4 | 86.45 ± 4.04 | 95.64 ± 3.73 | 89.21 ± 2.32 | 92.71 ± 2.65 | 86.41 ± 3.84 |
| Attention U-Net [17] | 96.36 ± 2.42 | 88.99 ± 3.70 | 92.8 ± 2.28 | 86.57 ± 3.72 | 94.12 ± 5.73 | 90.69 ± 2.65 | 92.82 ± 3.71 | 86.60 ± 5.58 |
| Attention U-Net (MSFA) | 96.74 ± 1.10 | 90.11 ± 2.81 | 93.15 ± 2.05 | 87.18 ± 3.50 | 96.27 ± 1.98 | 89.76 ± 3.47 | 93.00 ± 1.37 | 86.92 ± 3.16 |
| Rattention U-Net [50] | 93.61 ± 5.98 | 90.65 ± 2.95 | 91.99 ± 3.92 | 85.17 ± 6.02 | 95.22 ± 3.66 | 90.65 ± 2.21 | 92.09 ± 2.30 | 85.34 ± 3.39 |
| Rattention U-Net (MSFA) | 96.12 ± 1.96 | 89.73 ± 3.36 | 93.14 ± 2.23 | 87.16 ± 3.75 | 96.04 ± 1.53 | 89.71 ± 3.61 | 93.01 ± 1.70 | 86.93 ± 3.49 |
| UARAI (Ours) | 96.90 ± 1.06 | 90.62 ± 5.03 | 93.20 ± 3.29 | 87.27 ± 4.85 | 93.20 ± 4.85 | 91.55 ± 2.98 | 93.05 ± 2.39 | 87.00 ± 3.52 |
| Patch size | 128 × 128 × 32 | |||||||
| Network | Pre (%) | Re (%) | Di (%) | IoU (%) | ||||
| VoxResnet [59] | 93.89 ± 2.03 | 90.65 ± 2.51 | 92.21 ± 1.73 | 85.54 ± 2.99 | ||||
| Resnet (deep = 18) [60] | 81.90 ± 2.13 | 84.27 ± 3.58 | 84.46 ± 3.25 | 73.10 ± 3.24 | ||||
| U-Net [13] | 96.42 ± 1.25 | 88.34 ± 4.20 | 92.63 ± 2.62 | 86.27 ± 4.28 | ||||
| Attention U-Net [17] | 96.92 ± 1.90 | 89.15 ± 3.10 | 92.84 ± 2.01 | 86.64 ± 3.44 | ||||
| Attention U-Net (MSFA) | 97.00 ± 1.37 | 89.54 ± 3.32 | 92.74 ± 2.33 | 86.46 ± 3.87 | ||||
| Rattention U-Net [50] | 97.07 ± 1.22 | 86.40 ± 4.40 | 91.56 ± 2.61 | 84.43 ± 4.30 | ||||
| Rattention U-Net (MSFA) | 97.06 ± 0.58 | 87.79 ± 6.28 | 92.22 ± 3.80 | 85.56 ± 6.02 | ||||
| UARAI (Ours) | 97.07 ± 1.77 | 88.87 ± 3.65 | 93.09 ± 2.04 | 87.07 ± 3.46 | ||||