Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
arXiv:2604.23875v1 Announce Type: cross
Abstract: Noisy labels are a pervasive challenge in medical image classification, where annotation errors arise from inter-observer variability and diagnostic ambiguity. Although several noise-robust learning me…