Generative adversarial network in medical imaging: A review.
Citations
5,782 citations
Cites methods from "Generative adversarial network in m..."
...23 Trends in applying GANs to medical image analysis [39]...
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...[39] cover the use of GAN image synthesis in medical imaging applications...
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Cites background from "Generative adversarial network in m..."
...GAN, in particular, has seen tremendous success in synthesizing medical images [375]....
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Cites background from "Generative adversarial network in m..."
...GANs are of two different users in medical imaging [56]....
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...GANs are a special type of neural network model in which two networks are trained at the same time while one is focused on generating images, and the other performs discriminating [56]....
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...nator D can be regarded as a learned prior for normal images they can be used as a regularizer or detector when presented with abnormal images [56]....
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References
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"Generative adversarial network in m..." refers methods in this paper
...They further incorporated perceptual loss computed from a pretrained VGG-net [137] into the optimization framework to ensure perceptual similarity....
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"Generative adversarial network in m..." refers background or methods in this paper
...If the discriminator D is trained to optimality before the next generator G updates, then minimizing L G is proven to be equivalent to minimizing the Jensen–Shannon (JS) divergence between pr(x) and pg(x) [45]....
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...The vanilla GAN [45] is one type of generative model where...
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