Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study
arXiv:2602.18502v2 Announce Type: replace-cross
Abstract: Although deep learning models in medical imaging often achieve excellent classification performance, they can rely on shortcut learning, exploiting spurious correlations or confounding factors …