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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