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Table 2 Overview of the image filters

From: The effect of preprocessing filters on predictive performance in radiomics

Filter Parameters N
Original 105
Exponential 91 (196)
Gradient 91 (196)
Laplacian-of-Gaussian Sigma 1.0, 2.0, 3.0, 4.0, 5.0 mm 455 (560)
Local binary pattern Two-dimensional, three-dimensional 273 (378)
Logarithm 91 (196)
Square 91 (196)
Square root 91 (196)
Wavelet Directions HHH, HHL, HLH, HLL, LHH, LHL, LLH, LLL 728 (833)
  1. Original denotes the set of extracted features without any image processing, which also contains of shape features. Parameters denote the chosen extraction parameters for the preprocessing filter, if applicable. HHH, HHL etc. denote the frequency components of the wavelet filters (H = high, L = low). N denotes the number of features that were generated after applying the filter; in parenthesis is the sum of the number of original features and the features after applying the corresponding filter