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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:Front Oncol
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: Artigo
Lenguaje:Inglês
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7701297/
https://ncbi.nlm.nih.gov/pubmed/33304852
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.593381
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares