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. Author manuscript; available in PMC: 2019 Sep 1.
Published in final edited form as: Ann Biomed Eng. 2018 May 10;46(9):1419–1431. doi: 10.1007/s10439-018-2044-4

Table 1.

Summary of 109 features separated by feature class.

Feature class Feature number Feature description
Shape 4 (F1–F4) Mass size, convexity, maximum radius, standard deviation (STD) of all radii.
Tumor Density related 13 (F5–F17) Mean, STD, energy, entropy, maximum intensity, mean absolute deviation, median, minimum, range, rms, uniformity, skewness, and kurtosis of a segmented mass region.
Tumor background Density related 8 (F18–F25) gradient mean, gradient STD, ISO-intensity, fluctuation mean, fluctuation STD, mean contrast, contrast, STD ratio of mass to boundary.
Wavelet 84 (F26–F109) Apply the density features on the four wavelet components