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Verification of the machine delivery parameters of a treatment plan via deep learning
We developed a generative adversarial network (GAN)-based deep learning approach to estimate the multileaf collimator (MLC) aperture and corresponding monitor units (MUs) from a given 3D dose distribution. The proposed design of the adversarial network, which integrates a residual block into pix2pix...
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| Publicado en: | Phys Med Biol |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8084707/ https://ncbi.nlm.nih.gov/pubmed/32604082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aba165 |
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