Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging

Haoran Pei, Yuguang Yang, Kexin Liu +1

Out-of-distribution (OOD) generalization remains a central challenge in deploying deep learning models to real-world scenarios, particularly in domains such as biomedical images, w…