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. Author manuscript; available in PMC: 2022 Aug 10.
Published in final edited form as: J Neuroimaging. 2020 Nov 30;31(1):124–131. doi: 10.1111/jon.12800

Figure 2:

Figure 2:

Outline of the Support Vector Machine (SVM) classification methodology showing selection of regions of interests (ROIs) in Enhancing Region on CE-T1 (ER), Hyperintense T2 Region (HR), Immediate Peritumoral Region (IPR), Distal Peritumoral Region (DPR), Necrotic Region (NR), and normal appearing white matter (NAWM) in low and high-grade gliomas. Metrics are generated from 11 images/maps and single and multi-modality (combination) SVMs are executed for classification.

Abbreviations: RSC, Relative signal contrast; m, number of RSCs used in the classification model; n, number of modalities ADC, Apparent Diffusion Coefficeint; CBV, Cerebral Blood Volume; Cho, Choline; NAA, N-acetylaspartate; Cr, Creatine; FA, fractional anisotropy; CE, Contrast Enhanced; DWI, diffusion-weighted imaging; MRS, MR spectroscopy.