Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks

Anton S. Becker, Lukas Jendele, Ondrej Skopek +4

$\text{Purpose}$ To train a cycle-consistent generative adversarial network (CycleGAN) on mammographic data to inject or remove features of malignancy, and to determine whether t…