Search Results for author:
Found 2 papers, 1 papers with code
Noisy Image Segmentation With Soft-Dice
This paper presents a study on the soft-Dice loss, one of the most popular loss functions in medical image segmentation, for situations where noise is present in target labels.
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
We study two of the most popular performance metrics in medical image segmentation, Accuracy and Dice, when the target labels are noisy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
