Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Author:

Wang Zifu,Popordanoska Teodora,Bertels Jeroen,Lemmens Robin,Blaschko Matthew B.

Publisher

Springer Nature Switzerland

Reference51 articles.

1. Abraham, N., Khan, N.M.: A novel focal Tversky loss function with improved attention U-Net for lesion segmentation. In: ISBI (2019)

2. Berman, M., Triki, A.R., Blaschko, M.B.: The Lovasz-softmax loss: a tractable surrogate for the optimization of the intersection-over-union measure in neural networks. In: CVPR (2018)

3. Bertels, J., Robben, D., Vandermeulen, D., Suetens, P.: Theoretical analysis and experimental validation of volume bias of soft dice optimized segmentation maps in the context of inherent uncertainty. MIA 67, 101833 (2021)

4. Bilic, P., et al.: The liver tumor segmentation benchmark (LiTS). MIA 84, 102680 (2023)

5. Lecture Notes in Computer Science;L-C Chen,2018

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