I’m evaluating the predictions of a lung lobe segmentation model using the HausdorffDistanceImageFilter.
Thus, I’m passing the ground truth and the prediction (both have equal size with 6 labels) into the image filter.
I’m a bit puzzled about the result, that is the results make sense that worse models have a higher distance and better models have a smaller distance. But I’m a bit puzzled about the unit of the results and how multiple labels change the results.
In the documentation, I only find the explanation for sets.
Additionally, what’s the difference between GetHausdorffDistance and GetAverageHausdorffDistance?