Hausdorff Distance
A per-sample segmentation evaluation metric measuring the maximum nearest distance between two point sets. It is sensitive to worst-case boundary conditions and is used to capture shape deviations and outliers.
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The Hausdorff distance takes the maximum nearest distance between the set of predicted boundary points and the set of ground-truth boundary points, is extremely sensitive to the worst case at the boundary, and is commonly used to capture shape deviations and outliers.
The Dice coefficient and the Hausdorff distance are both per-sample metrics, which require the pairing of 'this image corresponds to this annotation' before they can be computed, cannot characterize the distributional properties of the prediction set as a whole, and cannot be computed directly on unlabeled data.
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The Hausdorff distance takes the maximum nearest distance between the set of predicted boundary points and the set of ground-truth boundary points, is extremely sensitive to the worst case at the boundary, and is commonly used to capture shape deviations and outliers.
50%UnverifiedThe Dice coefficient and the Hausdorff distance are both per-sample metrics, which require the pairing of 'this image corresponds to this annotation' before they can be computed, cannot characterize the distributional properties of the prediction set as a whole, and cannot be computed directly on unlabeled data.
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