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Using prediction models to evaluate magnetic resonance image guided radiation therapy plans
Comprehensive analysis of daily, online adaptive plan quality and safety in magnetic resonance imaging (MRI) guided radiation therapy is critical to its widespread use. Artificial neural network models developed with offline plans created after simulation were used to analyze and compare online plan...
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| Publicado no: | Phys Imaging Radiat Oncol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7807572/ https://ncbi.nlm.nih.gov/pubmed/33458351 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.phro.2020.10.002 |
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