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...

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Publicado no:Med Phys
Main Authors: Klages, Peter, Benslimane, Ilyes, Riyahi, Sadegh, Jiang, Jue, Hunt, Margie, Deasy, Joseph O., Veeraraghavan, Harini, Tyagi, Neelam
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha: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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