Leveraging data-driven segmentation uncertainty estimates as potential diagnostic indicators
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Background: The ability to quantify uncertainty is a desirable feature of explainable artificial intelligence systems. In the case of segmentation models, however, practical clinical applications for uncertainty estimates have be... ...
