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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Vydáno v:Radiat Oncol
Hlavní autoři: Wong, Jordan, Huang, Vicky, Wells, Derek, Giambattista, Joshua, Giambattista, Jonathan, Kolbeck, Carter, Otto, Karl, Saibishkumar, Elantholi P., Alexander, Abraham
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2021
Témata:
Research
On-line přístup: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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