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Hyperparameter-Free Boundary-Interior t-vMF Dice Loss for Medical Image Segmentation

Mitsuoka, Hinako et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Class imbalance and errors near anatomical boundaries remain challenges in medical image segmentation, motivating loss functions that account for these difficulties. Adaptive t-vMF Dice Loss adjusts the similarity function during training but requires hyperparameter tuning. We propose Self-Tuned Bou
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