A recurrent neural network for rapid detection of delivery errors during real-time portal dosimetry

BACKGROUND AND PURPOSE: Real-time portal dosimetry compares measured images with predicted images to detect delivery errors as the radiotherapy treatment proceeds. This work aimed to investigate the performance of a recurrent neural network for processing image metrics so as to detect delivery error...

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Detalles Bibliográficos
Autores principales: Bedford, James L., Hanson, Ian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048084/
https://www.ncbi.nlm.nih.gov/pubmed/35493850
http://dx.doi.org/10.1016/j.phro.2022.03.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048084/
https://www.ncbi.nlm.nih.gov/pubmed/35493850
http://dx.doi.org/10.1016/j.phro.2022.03.004

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