Dose-volume-based evaluation of convolutional neural network-based auto-segmentation of thoracic organs at risk

BACKGROUND AND PURPOSE: The geometrical accuracy of auto-segmentation using convolutional neural networks (CNNs) has been demonstrated. This study aimed to investigate the dose-volume impact of differences between automatic and manual OARs for locally advanced (LA) and peripherally located early-sta...

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Detalles Bibliográficos
Autores principales: Johnston, Noémie, De Rycke, Jeffrey, Lievens, Yolande, van Eijkeren, Marc, Aelterman, Jan, Vandersmissen, Eva, Ponte, Stephan, Vanderstraeten, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352974/
https://www.ncbi.nlm.nih.gov/pubmed/35936797
http://dx.doi.org/10.1016/j.phro.2022.07.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352974/
https://www.ncbi.nlm.nih.gov/pubmed/35936797
http://dx.doi.org/10.1016/j.phro.2022.07.004

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