imageType:
  Original: {}
  # Wavelet: {}
  # LoG: {}
  # Square: {}
  # SquareRoot: {}
  # Logarithm: {}
  # Exponential: {}
  # Gradient: {}
  # LBP2D: {}
  # LBP3D: {}

featureClass:
  firstorder:
    - 'Energy'
    - 'TotalEnergy'
    - 'Entropy'
    - 'Minimum'
    - '10Percentile'
    - '90Percentile'
    - 'Maximum'
    - 'Mean'
    - 'Median'
    - 'InterquartileRange'
    - 'Range'
    - 'MeanAbsoluteDeviation'
    - 'RobustMeanAbsoluteDeviation'
    - 'RootMeanSquared'
    # - 'StandardDeviation'
    - 'Skewness'
    - 'Kurtosis'
    - 'Variance'
    - 'Uniformity'
  shape:
    - 'MeshVolume'
    - 'VoxelVolume'
    - 'SurfaceArea'
    - 'SurfaceVolumeRatio'
    - 'Sphericity'
    # - 'Compactness1'
    # - 'Compactness2'
    # - 'SphericalDisproportion'
    - 'Maximum3DDiameter'
    - 'Maximum2DDiameterSlice'
    - 'Maximum2DDiameterColumn'
    - 'Maximum2DDiameterRow'
    - 'MajorAxisLength'
    - 'MinorAxisLength'
    - 'LeastAxisLength'
    - 'Elongation'
    - 'Flatness'
  glcm: # all features
  glrlm: # all features
  glszm:
  gldm: # all features
  ngtdm:

setting:
  # Feature Extractor Level
  # Image Normalization
  normalize: True
  normalizeScale: 1
  # removeOutliers: None

  # Resampling the image/mask
  # resampledPixelSpacing: [1.00, 1.00, 1.00]
  # interpolator: 'sitkBSpline'
  # padDistance: 1

  # Pre-Cropping
  # preCrop: True
  # Setting preCrop to true speeds up extraction and makes it less memory intensive, especially in the case of large images with only small ROIs.

  # Resegmentation
  # resegmentRange:
  # resegmentMode: 'sigma'
  # resegmentShape: True
  # only first order and texture classes are calculated using the resegmented mask (known in IBSI as the intensity mask).

  # Mask Validation
  # minimunROIDimensions: 3
  # 3D
  # minimumROISize: 1
  # geomertryTolerance: 1e-16
  # correctMask: True

  # Miscellaneous
  # additionalInfo: True

  # Feature Class Level
  label: 3

  # Image discretization
  # bindWidth: 25

  # Forced 2D extraction
  force2D: False

  # Texture matrix weighting
  # weightingNorm: 'manhattan'
  # only affects GLCM and GLRLM

  # Distance to neighbour
  # distances: [1]
  # This only affects the GLCM and NGTDM feature classes. The GLSZM and GLRLM feature classes use a fixed distance of 1 (infinity norm) to define neighbours.

  # Feature Class Specific Settings
  # First Order
  # voxelArrayShift: 0
  # GLCM
  # symmetricalGLCM: True
  # GLDM
  # gldm_a: 0

  # Voxel-based specific settings
  # kernelRadius: 1
  # initValue: 0
  # voxelBatch: 1
  # Larger batches mean less loops in Python and therefore a quicker extraction, but do require more memory.