Table 2.
Comparison of nuclear segmentation between different fusion models and a previously published method
| Input size | Recall | Precision | F1-Score | Standard Error |
|---|---|---|---|---|
| Fused-ENet | 0.94 | 0.88 | 0.91 | 1.1124e-06 |
| Fused 3-module encoder, 3-module decoder | 0.79 | 0.88 | 0.82 | 1.6170e-06 |
| Multi-reference Graphcut (MRG) | 0.75 | 0.85 | 0.79 | unknown |
MRG was shown to out-perform other methods that include random forest
The italic items illustrate the best results