Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets

Table 1

ROI feature set.

Feature type	Feature vectors	Dimensionality
Shape features (fs)	Perimeter, area, volume, roundness, rectangularity, length, Euler’s number, ESV, SCDSTD, ERCLD, Hu moment	18
Intensity features (fi)	Mean intensity, intensity standard variance, maximum-minimum intensity difference value of variance, skewness, kurtosis, intensity gradient (from inside to outside), LDM, LDD	8
Texture features (ft)	Tamura texture features (contrast, direction, roughness), GLCM (angular second moment, moment of inertia, torque deficit, sum mean, variance, sum variance, difference variance, entropy, sum entropy, differential entropy, information measure, correlation coefficient, maximum correlation coefficient)	16