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...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 36; no. 2; pp. 739 - 753
Main Authors:	Yeung, Michael, Rundo, Leonardo, Nan, Yang, Sala, Evis, Schönlieb, Carola-Bibiane, Yang, Guang
Format:	diagnostic images equations & formulas pictorial research tables/charts Journal Article
Published:	Springer Nature Apr2023
Online Access:	View this record in EBSCOhost