Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis

BACKGROUND AND PURPOSE: Radiation dose to the cardio-pulmonary system is critical for radiotherapy-induced mortality in non-small cell lung cancer. Our goal was to automatically segment substructures of the cardio-pulmonary system for use in outcomes analyses for thoracic cancers. We built and valid...

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Detalles Bibliográficos
Autores principales: Haq, Rabia, Hotca, Alexandra, Apte, Aditya, Rimner, Andreas, Deasy, Joseph O., Thor, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807536/
https://www.ncbi.nlm.nih.gov/pubmed/33458316
http://dx.doi.org/10.1016/j.phro.2020.05.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807536/
https://www.ncbi.nlm.nih.gov/pubmed/33458316
http://dx.doi.org/10.1016/j.phro.2020.05.009

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