PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation

Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra +5

In the domain of medical imaging, many supervised learning based methods for segmentation face several challenges such as high variability in annotations from multiple experts, pau…