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...

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Detalles Bibliográficos
Autores principales: Kapoor, Rishabh, Sleeman, William, Palta, Jatinder, Weiss, Elisabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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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

Internet

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

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