Create 3DParams.yaml
Browse files- 3DParams.yaml +119 -0
3DParams.yaml
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imageType:
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Original: {}
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# Wavelet: {}
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# LoG: {}
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# Square: {}
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# SquareRoot: {}
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# Logarithm: {}
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# Exponential: {}
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# Gradient: {}
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# LBP2D: {}
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# LBP3D: {}
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featureClass:
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firstorder:
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- 'Energy'
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- 'TotalEnergy'
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- 'Entropy'
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- 'Minimum'
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- '10Percentile'
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- '90Percentile'
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- 'Maximum'
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- 'Mean'
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- 'Median'
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- 'InterquartileRange'
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- 'Range'
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- 'MeanAbsoluteDeviation'
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- 'RobustMeanAbsoluteDeviation'
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- 'RootMeanSquared'
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# - 'StandardDeviation'
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- 'Skewness'
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- 'Kurtosis'
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- 'Variance'
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- 'Uniformity'
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shape:
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- 'MeshVolume'
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- 'VoxelVolume'
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- 'SurfaceArea'
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- 'SurfaceVolumeRatio'
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- 'Sphericity'
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# - 'Compactness1'
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# - 'Compactness2'
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# - 'SphericalDisproportion'
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- 'Maximum3DDiameter'
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- 'Maximum2DDiameterSlice'
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- 'Maximum2DDiameterColumn'
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- 'Maximum2DDiameterRow'
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- 'MajorAxisLength'
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- 'MinorAxisLength'
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- 'LeastAxisLength'
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- 'Elongation'
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- 'Flatness'
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glcm: # all features
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glrlm: # all features
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glszm:
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gldm: # all features
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ngtdm:
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setting:
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# Feature Extractor Level
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# Image Normalization
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normalize: True
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normalizeScale: 1
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# removeOutliers: None
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# Resampling the image/mask
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# resampledPixelSpacing: [1.00, 1.00, 1.00]
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# interpolator: 'sitkBSpline'
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# padDistance: 1
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# Pre-Cropping
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# preCrop: True
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# Setting preCrop to true speeds up extraction and makes it less memory intensive, especially in the case of large images with only small ROIs.
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# Resegmentation
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# resegmentRange:
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# resegmentMode: 'sigma'
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# resegmentShape: True
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# only first order and texture classes are calculated using the resegmented mask (known in IBSI as the intensity mask).
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# Mask Validation
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# minimunROIDimensions: 3
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# 3D
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# minimumROISize: 1
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# geomertryTolerance: 1e-16
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# correctMask: True
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# Miscellaneous
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# additionalInfo: True
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# Feature Class Level
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label: 3
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# Image discretization
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# bindWidth: 25
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# Forced 2D extraction
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force2D: False
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# Texture matrix weighting
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# weightingNorm: 'manhattan'
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# only affects GLCM and GLRLM
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# Distance to neighbour
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# distances: [1]
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# 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.
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# Feature Class Specific Settings
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# First Order
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# voxelArrayShift: 0
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# GLCM
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# symmetricalGLCM: True
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# GLDM
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# gldm_a: 0
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# Voxel-based specific settings
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# kernelRadius: 1
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# initValue: 0
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# voxelBatch: 1
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# Larger batches mean less loops in Python and therefore a quicker extraction, but do require more memory.
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