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Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy

PURPOSE: We propose a novel domain specific loss, which is a differentiable loss function based on the dose volume histogram, and combine it with an adversarial loss for the training of deep neural networks. In this study, we trained a neural network for generating Pareto optimal dose distributions,...

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Publicat a:Med Phys
Autors principals: Nguyen, Dan, McBeth, Rafe, Barkousaraie, Azar Sadeghnejad, Bohara, Gyanendra, Shen, Chenyang, Jia, Xun, Jiang, Steve
Format: Artigo
Idioma:Inglês
Publicat: 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7819274/
https://ncbi.nlm.nih.gov/pubmed/31821577
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13955
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