Mislabel Detection in Multi-Label Chest X-Rays via Prototype-Weighted Neighborhood Consistency in CoAtNet Embedding Space

Large-scale chest X-ray (CXR) datasets often rely on report-derived or weak labels, introducing missing and incorrect annotations that can degrade downstream models and limit trust. We study training-free mislabel detection in multi-label CXRs by scoring