Segmentation Quality and Volumetric Accuracy in Medical Imaging

arXiv:2404.17742v1 Announce Type: cross
Abstract: Current medical image segmentation relies on the region-based (Dice, F1-score) and boundary-based (Hausdorff distance, surface distance) metrics as the de-facto standard. While these metrics are widely used, they lack a unified interpretation, particularly regarding volume agreement. Clinicians often lack clear benchmarks to gauge the "goodness" of segmentation results based on these metrics. Recognizing the clinical relevance of volumetry, we utilize relative volume prediction error (vpe) to directly assess the accuracy of volume predictions derived from …

abstract accuracy agreement arxiv benchmarks clear clinicians cs.cv current dice eess.iv f1-score image imaging interpretation medical medical imaging metrics quality segmentation standard surface type while