. Author manuscript; available in PMC: 2011 Sep 2.

Published in final edited form as: Phys Med Biol. 2011 Jan 25;56(4):1139–1153. doi: 10.1088/0031-9155/56/4/016

Table 2.

The list of the features extracted and computed from each ROI.

Histogram-based statistical features		4		Mean of the histogram
				Variance of the histogram^*
				Skewness of the histogram
				Kurtosis of the histogram
Run-length matrix (RLM) texture features	0°	11	22	Short run emphasis
				Long run emphasis^*
				Gray-level non-uniformity^*
				Run length non-uniformity^*
				Run percentage
				Low gray-level run emphasis
				High gray-level run emphasis^*
				Short run low gray-level emphasis
				Short run high gray-level emphasis
				Long run low gray-level emphasis^*
				Long run high gray-level emphasis
	90°	11		Short run emphasis
				Long run emphasis
				Gray-level non-uniformity^*
				Run length non-uniformity
				Run percentage^*
				Low gray-level run emphasis
				High gray-level run emphasis
				Short run low gray-level emphasis^*
				Short run high gray-level emphasis^*
				Long run low gray-level emphasis^*
				Long run high gray-level emphasis

The optimal features selected by genetic algorithm for the optimal ANN using a ROI with 33 × 33 pixels are shown with (^*) marks.