Research Article
Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation
Table 4
The segmentation performance of the DPAC-UNet using different hyperparameter configurations.
| Loss functions | Weights | Metrics (%) | FPR∗ | DSC | F2 | PRE | RE | FPR |
| Tolerance loss, | 1. | | 0.438 | 54.8 | 54.1 | 63.6 | 55.1 | 0.111 | 2. | | 0.508 | 53.0 | 52.4 | 61.5 | 53.3 | 0.101 | 3. | | 0.573 | 55.2 | 54.7 | 64.4 | 55.7 | 0.120 | 4. | | 0.607 | 54.1 | 54 | 62.2 | 55.1 | 0.117 | 5. | | 0.689 | 55.9 | 56.6 | 63 | 57.4 | 0.124 | 6. | | 0.743 | 55.3 | 56 | 61.1 | 58.1 | 0.173 | 7. | | 0.898 | 53.8 | 54.1 | 62.8 | 55.7 | 0.142 | 8. | | 1.091 | 54.9 | 55.4 | 61.2 | 56.9 | 0.140 | 9. | | 1.27 | 55.5 | 55.6 | 63.7 | 57 | 0.126 | 10. | | 1.335 | 55.8 | 55.8 | 64.8 | 57.2 | 0.133 | 11. | | 1.888 | 53.6 | 53 | 64.4 | 53.9 | 0.111 | 12. | | 2.006 | 56.9 | 57.7 | 61.6 | 59.6 | 0.149 | 13. | | 2.143 | 56.7 | 57.3 | 61.9 | 59.1 | 0.157 | 14. | | 2.744 | 56.7 | 56 | 65.8 | 56.8 | 0.103 | 15. | | 4.093 | 59.3 | 59.8 | 65.6 | 59.9 | 0.106 | 16. | | 4.44 | 58.2 | 58.6 | 62.6 | 60.3 | 0.151 | 17. | | 4.57 | 57.5 | 57.5 | 64 | 58.8 | 0.137 | 18. | | 4.99 | 56.5 | 56.9 | 62.5 | 61.6 | 0.153 | 19. | | 5.634 | 56.2 | 57.5 | 63 | 59.3 | 0.132 | 20. | | 18.97 | 52.8 | 51.5 | 65.9 | 52.1 | 0.196 |
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