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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2023
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| Materias: | |
| 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 |