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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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