Retraining a U-Net on masks derived from its own segmentation errors improves liver and lesion dice by up to 2 points on the LiTS dataset.
2) is the gener- ation of new training masks to alter the current network per- formance and allow the network to learn from its own errors
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Mask Mining for Improved Liver Lesion Segmentation
Retraining a U-Net on masks derived from its own segmentation errors improves liver and lesion dice by up to 2 points on the LiTS dataset.