The segmentation-quality-control library is now available on PyPI. Based on a MIDL 2024 paper, the tool corrects patch-based segmentation errors specifically for retinal images. It optimizes image-level performance by refining local errors. This provides a targeted utility for medical imaging practitioners needing higher precision in automated diagnostic segmentation workflows.