To remove artefacts from medical imaging, machine learning can be a useful tool, but supervised approaches need examples of the same image with and without artefacts. Liu et al. present a method to train an artefact removal network without needing matching images of corrupted and uncorrupted images.
- Siyuan Liu
- Kim-Han Thung
- Pew-Thian Yap