Dose robustness of deep learning models for anatomic segmentation of computed tomography images

This is the authors' abstract. We don't add key points for this paper.

The trend towards lower radiation doses and advances in computed tomography (CT) reconstruction may impair the operation of pretrained segmentation models, giving rise to the problem of estimating the dose robustness of existing segmentation models. Previous studies addressing the issue suffer either from a lack of registered low- and full-dose CT images or from simplified simulations.