Deep learning for whole-body medical image generation.
Journal:
European journal of nuclear medicine and molecular imaging
Published Date:
May 22, 2021
Abstract
BACKGROUND: Artificial intelligence (AI) algorithms based on deep convolutional networks have demonstrated remarkable success for image transformation tasks. State-of-the-art results have been achieved by generative adversarial networks (GANs) and training approaches which do not require paired data. Recently, these techniques have been applied in the medical field for cross-domain image translation.