Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
The Dice similarity coefficient (DSC) is both a widely used metric and loss function for biomedical image segmentation due to its robustness to class imbalance. However, it is well known that the DSC loss is poorly calibrated, resulting in overconfident predictions that cannot be usefully interprete...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 2; pp. 739 - 753 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |