Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition

Table 1

Nuclei feature used in histopathology.

Category	Features
Intensity	Density, mean, median, variance, kurtosis, skewness, and so on
Morphology	Area, perimeter, diameter, area overlap ratio, center of mass, minor axis, major axis, smoothness, symmetry, and so on
Texture	Gray level cooccurrence matrix, local binary pattern, scale-invariant feature transform Tamura, fractal, Markov random field, wavelets, Haar-like features, Gabor, run-length, and so on