Taking a Deep Look at Multi-Rater Agreement for Calibrated Medical Image Segmentation
In medical image analysis, it is common to collect multiple annotations from different clinical experts or raters to mitigate potential diagnostic inaccuracies. However, in computer vision research, it has been conventional to adopt ground-truth labels generated either by majority voting or by selecting a single rater’...