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. 2020 Mar 12;2(1):vdaa035. doi: 10.1093/noajnl/vdaa035

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© The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 4. — Classification result for fresh brain tumor biopsies versus nontumor brain tissue. (A) Probability of class assignment is plotted for each sample of the test set. Linear discriminant analysis of texture parameters of brain tumor biopsies (n = 37 samples of 11 patients) versus nontumor brain tissue (n = 14 samples of 10 patients/body donors) was performed using an independent training set. Results based on combined analysis of CARS + TPEF images. (B) Distribution of the probability of class assignment for image classification based on combined CARS + TPEF analysis. (C) Percentage of correctly classified images for each sample based on combined CARS + TPEF analysis.