Neural network dose prediction for rectal spacer stratification in dose‐escalated prostate radiotherapy

PURPOSE: To develop a knowledge‐based decision‐support system capable of stratifying patients for rectal spacer (RS) insertion based on neural network predicted rectal dose, reducing the need for time‐ and resource‐intensive radiotherapy (RT) planning. METHODS: Forty‐four patients treated for prosta...

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Detalles Bibliográficos
Autores principales: Thomas, Christopher, Dregely, Isabel, Oksuz, Ilkay, Guerrero Urbano, Teresa, Greener, Tony, King, Andrew P., Barrington, Sally F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
THERAPEUTIC INTERVENTIONS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311720/
https://www.ncbi.nlm.nih.gov/pubmed/35218024
http://dx.doi.org/10.1002/mp.15575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311720/
https://www.ncbi.nlm.nih.gov/pubmed/35218024
http://dx.doi.org/10.1002/mp.15575

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