Table 5.

Extracted geometrical features from ROI images.

No	Feature Name	Feature Definition
1	Area [28]	The total area of all extracted regions
2	Perimeter area ratio [28]	The ratio between the measure of the length of a shape around the ROI and Area
3	Convex Hull [29]	The set of pixels that are included in convex polygon that is smallest surrounding white pixels
4	Solidity [30]	Contrasting object areas compared to its Convex Hull by utilizing the pixels that make up the Convex Hull.
5	Circularity [31]	The measurement of the roundness of the ROI
6	Equivalent diameter [32]	This is the diameter of a circle that has the same perimeter as the ROI region.
7	Extent	The area of the ROI divided by the Area of Convex hull
8	FilledArea	The total area measurement of only the ROI regions
9	Major axis length [27]	The longest length of the ROI object
10	Minor axis length [27]	The smallest width of the ROI object
11	Mean [33]	The sum of all pixels divided by the total pixel number
12	Standard Deviation [34]	The measurement of dispersion in the grey intensity level of the image
13	Shannon entropy [35]	The quantity of information present in the ROI images
14	Gray level co-occurrence matrix [36]	The textural information of the ROI regions
15	Skewness [37]	The measure of symmetry in the pixel’s distribution in the image
16	Kurtosis [38]	The density of the pixel’s distribution