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. 2021 Oct 25;3(1):vdab150. doi: 10.1093/noajnl/vdab150

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© The Author(s) 2021. 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-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 2. — T-distributed stochastic neighbor embedding (tSNE) analysis showing separation of cases from the 2 institutions. The high-dimensional radiomic feature space containing 139 single and multiparametric features and 135 cases is represented in 2-dimensional space with arbitrary axes using the tSNE. Individual cases are represented by circles (radiation necrosis, RN, N = 37) and triangles (tumor progression, TP, N = 98). Institutional origins are represented by open (Johns Hopkins cases, JH) or closed (Wake Forest cases, WF) dots. Ellipses (RN, white; TP, gray) represent 95% confidence intervals of group means (smaller dots in the center of the ellipses).