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Table 7: Average correct classification rates for joint posterior fossa classifiers (3-PFT) based on shape and ADC histogram/texture features^{^a}
ADC Features PA (%) MB (%) EP (%) 3-PFT C (%)
Histogram 25th percentile + histogram 75th percentile + histogram skewness 96.9 95.8 94.3 91.4
Histogram 25th percentile + histogram median 95.6 92.0 91.8 89.2
ROI volume + histogram 75th percentile + histogram median + histogram entropy 96.2 91.3 83.9 87.4
Histogram 25th percentile 95.6 91.1 88.7 85.3
Histogram 75th percentile 96.1 89.7 85.1 83.5
Histogram median 92.3 89.9 82.2 78.9
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 3-PFT classifier is also shown. The bottom 3 rows correspond to the best single-feature classifiers.