Table A8.
Accuracy values of the algorithms for different PSNR values of adversative noise (NucleusSegData).
| Accuracy | 100.0 | 43.0 | 34.5 | 28.7 | 22.6 | 16.6 |
| Neuronal Alg. | 0.982 | 0.982 | 0.982 | 0.982 | 0.966 | 0.864 |
| UNetRNet34 | 0.982 | 0.978 | 0.975 | 0.970 | 0.962 | 0.948 |
| KG network | 0.983 | 0.982 | 0.980 | 0.973 | 0.953 | 0.928 |
| Mask R-CNN | 0.977 | 0.973 | 0.969 | 0.959 | 0.938 | 0.917 |