Deep learning for whole-body medical image generation.
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...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 12; pp. 3817 - 3827 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2021
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| Acceso en línea: | Ver este registro en EBSCOhost |