Synthetic MR image generation of macrotrabecular-massive hepatocellular carcinoma using generative adversarial networks

•Generative adversarial network-based methods can be used to generate realistic synthetic MR images of rare liver tumors.•Generative adversarial network-based methods help generate a set of synthetic data mimicking the variability of real tumors in terms of size, shape and texture.•Generative adversarial network-based methods can leverage the high availability of routine MR images to generate a large-scale dataset of a rare liver tumor.