Fig. 3.

Generalization to unseen domains for three different 3D medical image segmentation tasks. Baseline standard deep models have the low performances on unseen MRI and ultrasound images from different clinical centers, scanner vendors, etc. CycleGAN based domain adaptation method help improve the segmentation performances. BigAug training generates robust models which significantly improve the segmentation performances on unseen domains. Segmentation masks (red) overlayed on unseen or CycleGAN synthesized images are illustrated.