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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Bibliografiska uppgifter
I publikationen:Phys Imaging Radiat Oncol
Huvudupphovsmän: Elguindi, Sharif, Zelefsky, Michael J., Jiang, Jue, Veeraraghavan, Harini, Deasy, Joseph O., Hunt, Margie A., Tyagi, Neelam
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2019
Ämnen:
Original Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7192345/
https://ncbi.nlm.nih.gov/pubmed/32355894
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.phro.2019.11.006
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