Research Article
SCU-Net++: A Nested U-Net Based on Sharpening Filter and Channel Attention Mechanism
Table 1
Experiment results on pancreas segmentation.
| Method | | | | | | |
| U-Net | 81.57 | 81.54 | 81.88 | 0.882-3 | 20.61 M | 128.59G | Sharp U-Net | 82.09 | 81.98 | 82.05 | 1.021-3 | 20.61 M | 128.63G | Attention U-Net | 82.15 | 81.53 | 82.62 | 6.467-3 | 23.23 M | 160.28G | U-Net++ (baseline) | 83.20 | 83.16 | 83.97 | 4.837-3 | 25.98 M | 414.33G | SCU-Net++ (ours) | 83.64 | 83.97 | 84.20 | 1.04-3 | 25.98 M | 414.95G |
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