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DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation
Deep learning algorithms have recently been developed that utilize patient anatomy and raw imaging information to predict radiation dose, as a means to increase treatment planning efficiency and improve radiotherapy plan quality. Current state-of-the-art techniques rely on convolutional neural netwo...
में बचाया:
| में प्रकाशित: | Sci Rep |
|---|---|
| मुख्य लेखकों: | , , , , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Nature Publishing Group UK
2020
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7338467/ https://ncbi.nlm.nih.gov/pubmed/32632116 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-68062-7 |
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