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. 2021 Mar 11;12:1609. doi: 10.1038/s41467-021-21727-x

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© The Author(s) 2021

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — For each overlapping 128 × 128 patch in a 1000 × 1000 pixel image, we classify the likelihood that the patch contains recurrent tumor cells. We used these predictions to create a heatmap of primary tumor (values closer to zero) versus recurrent tumor (values closer to one) locations in the image. Columns A and C are LGG histopathological images; columns B and D are the corresponding heatmaps showing the locations in the images classified as higher likelihood of primary tumor (darker colors) versus higher likelihood of recurrent tumor (lighter colors).