Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications

Quality gaps in medical imaging datasets lead to profound errors in experiments. Our objective was to characterize such quality gaps in public pancreas imaging datasets (PPIDs), to evaluate their impact on previously published studies, and to provide post-hoc labels and segmentations as a value-add for these PPIDs.We scored the available PPIDs on the medical imaging data readiness (MIDaR) scale, and evaluated for associated metadata, image...