Generative Adversarial Networks for Brain MRI Synthesis: Impact of Training Set Size on Clinical Application.
We evaluated the impact of training set size on generative adversarial networks (GANs) to synthesize brain MRI sequences. We compared three sets of GANs trained to generate pre-contrast T1 (gT1) from post-contrast T1 and FLAIR (gFLAIR) from T2. The baseline models were trained on 135 cases; for this...
| Publicado en: | Journal of Digital Imaging Vol. 37; no. 3; pp. 1228 - 1239 |
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| Autores principales: | , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2024
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| Acceso en línea: | Ver este registro en EBSCOhost |