Figure 2.

TumorGAN architecture. We use one generator G and two discriminators $D_g$ and $D_l$. The output of G is entered into the different discriminators in different ways to determine whether it is real or fake; $s_{ab}$ is a semantic segmentation label corresponding to y and $s_b$ is a semantic label corresponding to $x_b$.