Robustness of radiomics-based machine learning to real-world MRI distribution shifts: a phantom study
Objective. This study systematically investigates the robustness of radiomics-based machine learning models to distribution shifts caused by variations in MRI acquisition protocols and image segmentation strategies, and evaluates strategies for maintaining predictive performance and uncertainty calibration under such s...