Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

BACKGROUND: Structure delineation is a necessary, yet time-consuming manual procedure in radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and automatise this procedure, obtaining promising results. With the advent of magnetic resonance imaging (MRI)-guided radioth...

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Detalles Bibliográficos
Autores principales: Savenije, Mark H. F., Maspero, Matteo, Sikkes, Gonda G., van der Voort van Zyp, Jochem R. N., T. J. Kotte, Alexis N., Bol, Gijsbert H., T. van den Berg, Cornelis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216473/
https://www.ncbi.nlm.nih.gov/pubmed/32393280
http://dx.doi.org/10.1186/s13014-020-01528-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216473/
https://www.ncbi.nlm.nih.gov/pubmed/32393280
http://dx.doi.org/10.1186/s13014-020-01528-0

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