UNet++ Reproduction Results
5-Fold Cross Validation Results (Cell Nuclei Dataset)
| Fold | Dice | IoU |
|---|---|---|
| 1 | 0.8906 | 0.8451 |
| 2 | 0.9071 | 0.8480 |
| 3 | 0.9049 | 0.8519 |
| 4 | 0.8984 | 0.8478 |
| 5 | 0.9030 | 0.8441 |
Mean IoU: 84.74% Mean Dice: 90.08%
Files
training_curves.png- Training curves visualization*.pkl- Detailed results for each branch (L1-L4)best_model_fold*.h5- Model weights (5-fold)
Paper Reference
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang DLMIA 2018
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