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Patch-Based Generative Adversarial Neural Network Models for Head and Neck MR-Only Planning
PURPOSE: To evaluate pix2pix and CycleGAN and to assess the effects of multiple combination strategies on accuracy for patch-based synthetic CT (sCT) generation for MR-only treatment planning in head and neck (HN) cancer patients. MATERIALS AND METHODS: Twenty-three deformably registered pairs of CT...
Tallennettuna:
| Julkaisussa: | Med Phys |
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| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7146715/ https://ncbi.nlm.nih.gov/pubmed/31733164 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13927 |
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