Domain Generalization Mitigates Scanner-Induced Domain Shift in Medical Imaging.
The results show that DG methods, particularly those that explicitly regularize the learning process, improve out-of-domain generalization, but do not fully close the gap with in-domain performance, underscore the necessity of incorporating DG strategies to develop clinically deployable AI models.