Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training

18 Apr 2019Vassili KovalevSiarhei Kazlouski

In this paper, we explore the possibility of generating artificial biomedical images that can be used as a substitute for real image datasets in applied machine learning tasks. We are focusing on generation of realistic chest X-ray images as well as on the lymph node histology images using the two recent GAN architectures including DCGAN and PGGAN... (read more)

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