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Table 6: 
Average correct classification rates for joint posterior fossa classifiers (3-PFT) based on shape, T2WI, and T1WI+Gd histogram/texture featuresa
T1WI+Gd and T2WI FeaturesPA (%)MB (%)EP (%)3-PFT C (%)
ROI volume + T1WI+Gd histogram energy + T1WI+Gd sum entropy83.578.274.678.8
ROI volume + T1WI+Gd mean + T1WI+Gd sum entropy80.081.969.776.4
T2WI histogram skewness + T2WI mean + T2WI cluster prominence + T2WI sum variance76.778.171.375.2
  • Note:—3-PFT indicates 3 posterior fossa tumor; 3-PFT C, 3 posterior fossa tumor classifiers.
  • ↵a The performance of the separate individual classifiers that make up the combined classifier is also shown.