Abstract: Label-to-image translation models generate images from semantic label maps. Existing models depend on large volumes of pixel-level annotated samples. When given new training samples ...

Abstract: Deep learning-based methods have been widely used in medical image segmentation recently. However, existing works are usually difficult to simultaneously capture global long-range ...