Skip to main content
. 2014 May;35(5):1009–1015. doi: 10.3174/ajnr.A3784

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 Features PA (%) MB (%) EP (%) 3-PFT C (%)
ROI volume + T1WI+Gd histogram energy + T1WI+Gd sum entropy 83.5 78.2 74.6 78.8
ROI volume + T1WI+Gd mean + T1WI+Gd sum entropy 80.0 81.9 69.7 76.4
T2WI histogram skewness + T2WI mean + T2WI cluster prominence + T2WI sum variance 76.7 78.1 71.3 75.2

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.