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Facilitating MR-Guided Adaptive Proton Therapy in Children Using Deep Learning-Based Synthetic CT
PURPOSE: To determine whether self-attention cycle-generative adversarial networks (cycle-GANs), a novel deep-learning method, can generate accurate synthetic computed tomography (sCT) to facilitate adaptive proton therapy in children with brain tumors. MATERIALS AND METHODS: Both CT and T1-weighted...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Particle Therapy Co-operative Group
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8768893/ https://www.ncbi.nlm.nih.gov/pubmed/35127971 http://dx.doi.org/10.14338/IJPT-20-00099.1 |