Hierarchical performance estimation in the statistical label fusion framework
We provide a theoretical advancement to the statistical fusion framework to enable hierarchical performance estimation. Advancements are highly amenable to many of the state-of-the-art advancements to the statistical fusion framework. We demonstrate statistically significant improvement on both simulated and empirical data.
label fusion multi-atlas segmentation staple hierarchical segmentation rater performance models