most citedUSE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

32 citations · 32 across the 1 of their papers we have counts for

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eess.IV2022★ 32 cited

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

Sophie Ostmeier, Brian Axelrod, Jeroen Bertels +6

Performance metrics for medical image segmentation models are used to measure the agreement between the reference annotation and the predicted segmentation. Usually, overlap metric…