Deep-learning magnetic resonance imaging-based automatic segmentation for organs-at-risk in the brain: Accuracy and impact on dose distribution

BACKGROUND AND PURPOSE: Normal tissue sparing in radiotherapy relies on proper delineation. While manual contouring is time consuming and subject to inter-observer variability, auto-contouring could optimize workflows and harmonize practice. We assessed the accuracy of a commercial, deep-learning, M...

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Detalles Bibliográficos
Autores principales: Turcas, Andrada, Leucuta, Daniel, Balan, Cristina, Clementel, Enrico, Gheara, Cristina, Kacso, Alex, Kelly, Sarah M., Tanasa, Delia, Cernea, Dana, Achimas-Cadariu, Patriciu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276287/
https://www.ncbi.nlm.nih.gov/pubmed/37333894
http://dx.doi.org/10.1016/j.phro.2023.100454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276287/
https://www.ncbi.nlm.nih.gov/pubmed/37333894
http://dx.doi.org/10.1016/j.phro.2023.100454

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