Robust Learning for Medical Image Segmentation

This thesis investigates the robustness of AI systems in medical image segmentation, where inaccuracies can lead to misdiagnoses and compromise patient safety. Typically, medical image segmentation systems use accuracy as their main performance metric, evaluating generalization capabilities on a sma