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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