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Average classification rates for 2 PA tumor-type classifiers as a function of the number of bins used to quantize the normalized ADC values. Classification rates for histogram feature-based classifiers are independent of the number of bins (as long as these are not very low). In contrast, if the number of bins is too large, classification based on Gray-Level Co-Occurrence textural features will be affected (insufficient pairs of pixels are found).
