Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures

PURPOSE: Discrepancies between planned and delivered dose to GI structures during radiation therapy (RT) of liver cancer may hamper the prediction of treatment outcomes. The purpose of this study is to develop a streamlined workflow for dose accumulation in a treatment planning system (TPS) during l...

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Detalles Bibliográficos
Autores principales: McCulloch, Molly M., Cazoulat, Guillaume, Svensson, Stina, Gryshkevych, Sergii, Rigaud, Bastien, Anderson, Brian M., Kirimli, Ezgi, De, Brian, Mathew, Ryan T., Zaid, Mohamed, Elganainy, Dalia, Peterson, Christine B., Balter, Peter, Koay, Eugene J., Brock, Kristy K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666494/
https://www.ncbi.nlm.nih.gov/pubmed/36408172
http://dx.doi.org/10.3389/fonc.2022.1015608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666494/
https://www.ncbi.nlm.nih.gov/pubmed/36408172
http://dx.doi.org/10.3389/fonc.2022.1015608

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