A convolutional neural network model for EPID‐based non‐transit dosimetry

PURPOSE: To develop an alternative computational approach for EPID‐based non‐transit dosimetry using a convolutional neural network model. METHOD: A U‐net followed by a non‐trainable layer named True Dose Modulation recovering the spatialized information was developed. The model was trained on 186 I...

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Detalles Bibliográficos
Autores principales: Bosco, Lucas Dal, Franceries, Xavier, Romain, Blandine, Smekens, François, Husson, François, Le Lann, Marie‐Véronique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243321/
https://www.ncbi.nlm.nih.gov/pubmed/36864758
http://dx.doi.org/10.1002/acm2.13923

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243321/
https://www.ncbi.nlm.nih.gov/pubmed/36864758
http://dx.doi.org/10.1002/acm2.13923

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