Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer

BACKGROUND AND PURPOSE: Automation is desirable for organ segmentation in radiotherapy. This study compared deep learning methods for auto-segmentation of organs-at-risk (OARs) and clinical target volume (CTV) in prostate cancer patients undergoing fractionated magnetic resonance (MR)-guided adaptiv...

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Detalles Bibliográficos
Autores principales: Kawula, Maria, Vagni, Marica, Cusumano, Davide, Boldrini, Luca, Placidi, Lorenzo, Corradini, Stefanie, Belka, Claus, Landry, Guillaume, Kurz, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624570/
https://www.ncbi.nlm.nih.gov/pubmed/37928618
http://dx.doi.org/10.1016/j.phro.2023.100498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624570/
https://www.ncbi.nlm.nih.gov/pubmed/37928618
http://dx.doi.org/10.1016/j.phro.2023.100498

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