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. 2022 Jan 31;17:21. doi: 10.1186/s13014-022-01985-9

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Dose distributions on sagittal slices of three test patients showing (left) the worst, (middle) the average and (right) the best agreement quantified by the gamma-index of the treatment plan optimized on (top) the manual segmentation and (middle) the 3D U-Net segmented images. Additionally, relative dose differences are presented. For improved visibility, dose below 25% of the dose prescribed to PTV and deviations below 0.4% on the difference plot are not displayed. Ground truth contours of (green) rectum, (blue) bladder and (red) prostate are also shown. The black box indicates the region where the contours were predicted by the U-Net