Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers

PURPOSE: We recently described the validation of deep learning-based auto-segmented contour (DC) models for organs at risk (OAR) and clinical target volumes (CTV). In this study, we evaluate the performance of implemented DC models in the clinical radiotherapy (RT) planning workflow and report on us...

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Detalhes bibliográficos
Publicado no:Radiat Oncol
Main Authors: Wong, Jordan, Huang, Vicky, Wells, Derek, Giambattista, Joshua, Giambattista, Jonathan, Kolbeck, Carter, Otto, Karl, Saibishkumar, Elantholi P., Alexander, Abraham
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2021
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8186196/
https://ncbi.nlm.nih.gov/pubmed/34103062
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-021-01831-4
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