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Table 2 Optimal parameter set Ƥ as determined by RF training

From: A new method for quantitative assessment of hand muscle volume and fat in magnetic resonance images

RF number of trees 30
RF maximal tree depth 30
RF samples per node 0.0001%
GF kernel size 21 × 21
GF Gaussian sigma 1
GF Sinusoidal wavelength 1
ELBP (inner) radius 3 (1.5)
ELBP sample 8
  1. Optimal parameter set Ƥ, showing the highest average Dice ratio during the validation step of the RF training