TABLE I.

Overview of Features for SVM Classification

No.	Feature	Category
1	Area	2D geometric
2	Diameter (max dimension on largest area slice)	2D geometric
3	Eccentricity = ellipse foci / major axis length	2D geometric
4	Circularity = Area/[π(Diameter/2)^2]	2D geometric
5	Volume	3D geometric
6	Elongation = max(dx, dy, dz) / min(dx, dy, dz)	3D geometric
7	Compact1 = projection on x-y plane / (dx*dy)	3D geometric
8	Compact2 = (dx*dy*dz) / [max(dx, dy, dz)]^3	3D geometric
9-10	Mean and stdev of square compactness	3D geometric
11-16	Min, max, mean, stdev, skewness, and kurtosis	2D intensity
17-18	Inside vs. outside mean and stdev separation	2D intensity
19	Inside vs. outside contrast	2D intensity
20-23	Mean, stdev, skewness, and kurtosis	3D intensity
24-25	Inside vs. outside mean and stdev separation	3D intensity
26	Inside vs. outside contrast	3D intensity
27	XY gradient magnitude separation inside	2D gradient
28-29	Radial gradient mean and stdev inside	2D gradient
30-31	Radial gradient mean and stdev outside	2D gradient
32-33	Radial gradient mean and stdev separation	2D gradient
34-35	Mean and stdev of 3D gradient magnitude	3D gradient
36-37	Radial gradient mean and stdev inside	3D gradient
38-39	Radial gradient mean and stdev outside	3D gradient
40-41	Radial gradient mean and stdev separation	3D gradient
42-45	Min, max, mean and stdev of tubeness	3D Hessian
46-49	Min, max, mean and stdev of blobness	3D Hessian