On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study

09/21/2020 ∙ by Jaesung Yoo, et al. ∙ 0

Generative Adversarial Network (GAN) is a useful type of Neural Networks in various types of applications including generative models and feature extraction. Various types of GANs are being researched with different insights, resulting in a diverse family of GANs with a better performance in each generation. This review focuses on various GANs categorized by their common traits.

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