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. 2016 May 3;11:909–917. doi: 10.1007/s11548-016-1376-5

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© The Author(s) 2016

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.

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Fig. 3 — Effect of unequal test and training noise. a Low SNR for training, varying testing noise. b High SNR for training, varying testing noise. Depicted is the median absolute error in oxygenation estimation and corresponding interquartile ranges as a function of the amount of noise for baseline and the proposed random forest-based method with 15,000 training samples