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3D deep convolution neural network for radiation pneumonitis prediction following stereotactic body radiotherapy
In this study, we investigated 3D convolutional neural networks (CNNs) with input from radiographic and dosimetric datasets of primary lung tumors and surrounding lung volumes to predict the likelihood of radiation pneumonitis (RP). Pre‐treatment, 3‐ and 6‐month follow‐up computed tomography (CT) an...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018674/ https://www.ncbi.nlm.nih.gov/pubmed/36546583 http://dx.doi.org/10.1002/acm2.13875 |