Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy | Radiation Oncology | Full Text

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy | Radiation Oncology | Full Text

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

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 promis...

Authors:Mark H. F. Savenije, Matteo Maspero, Gonda G. Sikkes, Jochem R. N. van der Voort van Zyp, Alexis N. T. J. Kotte, Gijsbert H. Bol and Cornelis A. T. van den Berg

Citation:Radiation Oncology 2020 15:104

Content type:Research

Published on: 11 May 2020

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