Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks

29 May 2018Umair JavaidJohn A. Lee

With the advent of Deep Learning (DL) techniques, especially Generative Adversarial Networks (GANs), data augmentation and generation are quickly evolving domains that have raised much interest recently. However, the DL techniques are data demanding and since, medical data is not easily accessible, they suffer from data insufficiency... (read more)

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