Dose Super-Resolution in Prostate Volumetric Modulated Arc Therapy Using Cascaded Deep Learning Networks

PURPOSE: This study proposes a cascaded network model for generating high-resolution doses (i.e., a 1 mm grid) from low-resolution doses (i.e., ≥3 mm grids) with reduced computation time. METHODS: Using the anisotropic analytical algorithm with three grid sizes (1, 3, and 5 mm) and the Acuros XB alg...

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Detalles Bibliográficos
Autores principales: Shin, Dong-Seok, Kim, Kyeong-Hyeon, Kang, Sang-Won, Kang, Seong-Hee, Kim, Jae-Sung, Kim, Tae-Ho, Kim, Dong-Su, Cho, Woong, Suh, Tae Suk, Chung, Jin-Beom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701297/
https://www.ncbi.nlm.nih.gov/pubmed/33304852
http://dx.doi.org/10.3389/fonc.2020.593381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701297/
https://www.ncbi.nlm.nih.gov/pubmed/33304852
http://dx.doi.org/10.3389/fonc.2020.593381

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