Generative Adversarial Networks in Medical Image Processing.
Journal:
Current pharmaceutical design
Published Date:
Jan 1, 2021
Abstract
BACKGROUND: The emergence of generative adversarial networks (GANs) has provided new technology and framework for the application of medical images. Specifically, a GAN requires little to no labeled data to obtain high-quality data that can be generated through competition between the generator and discriminator networks. Therefore, GANs are rapidly proving to be a state-of-the-art foundation, achieving enhanced performances in various medical applications.