Table 3.

Qualitative description of some of the most important identified features.

Features	Tumor Examples		Description
	(High Value)	(Low Value)
Correlation			Measures the linear relationship between two variables (pixels coordinates for images). In other words, measures the similarity between neighborhood sub-image’s regions.
Information Measure of Correlation			Measures the amount of information that one variable contains about another. In other words, it measures how irregular is the texture of an image.
Sum Average			Provides the average of the grey values from ROI.