SinGAN-Seg: Synthetic training data generation for medical image segmentation
Fig 12
Sample images generated from different GAN architectures.
SinGAN-Seg has two versions: one is without style transfer (SinGAN-Seg) and one is with style transfer (SinGAN-Seg-ST). The best ratio of content: style = 1: 1, 000 was used for transferring style.
doi: https://doi.org/10.1371/journal.pone.0267976.g012