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Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
Realistic image generation is valuable in dental medicine, but still challenging for generative adversarial networks (GANs), which require large amounts of data to overcome the training instability. Thus, we generated lateral cephalogram X-ray images using a deep-learning-based progressive growing G...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206205/ https://www.ncbi.nlm.nih.gov/pubmed/34131213 http://dx.doi.org/10.1038/s41598-021-91965-y |