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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Detaylı Bibliyografya
Yayımlandı:Radiat Oncol
Asıl Yazarlar: Wong, Jordan, Huang, Vicky, Wells, Derek, Giambattista, Joshua, Giambattista, Jonathan, Kolbeck, Carter, Otto, Karl, Saibishkumar, Elantholi P., Alexander, Abraham
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2021
Konular:
Research
Online Erişim: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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