Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039156/ https://www.ncbi.nlm.nih.gov/pubmed/36474089 http://dx.doi.org/10.1007/s10278-022-00735-3 |