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. Author manuscript; available in PMC: 2013 Dec 4.
Published in final edited form as: Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2013 Jun 23;2013:10.1109/CVPR.2013.286. doi: 10.1109/CVPR.2013.286

Table 2.

Morphometric features used in SMLSPM and MKSPM, where the curvature values were computed with σ = 2.0, and the nuclear background is defined to be outside the nuclear region, but inside the bounding box of nuclear boundary.

Feature Description
Nuclear Size #pixels of a segmented nucleus
Nuclear Voronoi Size #pixels of the voronoi region, where the segmented nucleus resides
Aspect Ratio Aspect ratio of the segmented nucleus
Major Axis Length of Major axis of the segmented nucleus
Minor Axis Length of Minor axis of the segmented nucleus
Rotation Angle between major axis and×axis of the segmented nucleus
Bending Energy Mean squared curvature values along nuclear contour
STD Curvature Standard deviation of absolute curvature values along nuclear contour
Abs Max Curvature Maximum absolute curvature values along nuclear contour
Mean Nuclear Intensity Mean intensity in nuclear region measured in gray scale
STD Nuclear Intensity Standard deviation of intensity in nuclear region measured in gray scale
Mean Background Intensity Mean intensity of nuclear background measured in gray scale
STD Background Intensity Standard deviation of intensity of nuclear background measured in gray scale
Mean Nuclear Gradient Mean gradient within nuclear region measured in gray scale
STD Nuclear Gradient Standard deviation of gradient within nuclear region measured in gray scale