Fig. 7
From: Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
Boundary errors: rewarding/penalizing recall. Illustration in 2D of boundary errors that decrease/increase recall. The ground truth image GT is compared with the image A that is smaller than GT and with another image B that is larger than GT. Although the boundary error in both cases is equal (δ), the magnitude of the resulting false negative (FN) with A is smaller than the resulting false positive (FP) with B. This causes that metrics, considering the absolute magnitudes of FN and FP, penalize high racall