Fully automated dose prediction using generative adversarial networks in prostate cancer patients

PURPOSE: Although dose prediction for intensity modulated radiation therapy (IMRT) has been accomplished by a deep learning approach, delineation of some structures is needed for the prediction. We sought to develop a fully automated dose-generation framework for IMRT of prostate cancer by entering...

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Detalles Bibliográficos
Autores principales: Murakami, Yu, Magome, Taiki, Matsumoto, Kazuki, Sato, Tomoharu, Yoshioka, Yasuo, Oguchi, Masahiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7197852/
https://www.ncbi.nlm.nih.gov/pubmed/32365088
http://dx.doi.org/10.1371/journal.pone.0232697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7197852/
https://www.ncbi.nlm.nih.gov/pubmed/32365088
http://dx.doi.org/10.1371/journal.pone.0232697

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