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. 2019 Aug 28;19:60. doi: 10.1186/s40644-019-0249-x

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

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Fig. 2 — Radiomics heatmaps (normalized data). Heatmap depicting correlation coefficient matrix of 1044 features. Unsupervised clustering analysis was used. The heatmap represents the correlation between parameters. The stronger the correlation is, the larger the value (the lighter the color) is, and the worse the correlation is, the smaller the value (the darker the color) is