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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status

Fig. 3

Comparisons between different WHO grade gliomas grades across shape, histogram and texture features. Typical examples of gliomas grades are shown for illustrator purposes on the middle panel. Bar charts on the top and bottom panel present the mean z-score transformed difference across all groups and between groups for each feature after correction for acquisition parameters for the non-shape features. Bars encoded in red represent features presenting significant statistical significance between groups as per Wilcoxon non parametric testing, whereas bars in blue are those not statistically significant (significance threshold p = 0.05)

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