Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy

BACKGROUND AND PURPOSE: Magnetic resonance (MR) only radiation therapy for prostate treatment provides superior contrast for defining targets and organs-at-risk (OARs). This study aims to develop a deep learning model to leverage this advantage to automate the contouring process. MATERIALS AND METHO...

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Detalles Bibliográficos
Autores principales: Elguindi, Sharif, Zelefsky, Michael J., Jiang, Jue, Veeraraghavan, Harini, Deasy, Joseph O., Hunt, Margie A., Tyagi, Neelam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192345/
https://www.ncbi.nlm.nih.gov/pubmed/32355894
http://dx.doi.org/10.1016/j.phro.2019.11.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192345/
https://www.ncbi.nlm.nih.gov/pubmed/32355894
http://dx.doi.org/10.1016/j.phro.2019.11.006

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