Params.zip_影像组学_影像组学参数

# This is an example of a parameters file # It is written according to the YAML-convention (www.yaml.org) and is checked by the code for consistency. # Three types of parameters are possible and reflected in the structure of the document: # # Parameter category: # Setting Name: <value> # # The three parameter categories are: # - setting: Setting to use for preprocessing and class specific settings. if no <value> is specified, the value for # this setting is set to None. # - featureClass: Feature class to enable, <value> is list of strings representing enabled features. If no <value> is # specified or <value> is an empty list ('[]'), all features for this class are enabled. # - imageType: image types to calculate features on. <value> is custom kwarg settings (dictionary). if <value> is an # empty dictionary ('{}'), no custom settings are added for this input image. # # Some parameters have a limited list of possible values. Where this is the case, possible values are listed in the # package documentation # Settings to use, possible settings are listed in the documentation (section "Customizing the extraction"). setting: binWidth: 25 label: 1 interpolator: 'sitkBSpline' # This is an enumerated value, here None is not allowed resampledPixelSpacing: # This disables resampling, as it is interpreted as None, to enable it, specify spacing in x, y, z as [x, y , z] weightingNorm: # If no value is specified, it is interpreted as None # Image types to use: "Original" for unfiltered image, for possible filters, see documentation. imageType: Original: {} # for dictionaries / mappings, None values are not allowed, '{}' is interpreted as an empty dictionary # Featureclasses, from which features must be calculated. If a featureclass is not mentioned, no features are calculated # for that class. Otherwise, the specified features are calculated, or, if none are specified, all are calculated (excluding redundant/deprecated features). featureClass: # redundant Compactness 1, Compactness 2 an Spherical Disproportion features are disabled by default, they can be # enabled by specifying individual feature names (as is done for glcm) and including them in the list. shape: firstorder: [] # specifying an empty list has the same effect as specifying nothing. glcm: # Disable SumAverage by specifying all other GLCM features available - 'Autocorrelation' - 'JointAverage' - 'ClusterProminence' - 'ClusterShade' - 'ClusterTendency' - 'Contrast' - 'Correlation' - 'DifferenceAverage' - 'DifferenceEntropy' - 'DifferenceVariance' - 'JointEnergy' - 'JointEntropy' - 'Imc1' - 'Imc2' - 'Idm' - 'Idmn' - 'Id' - 'Idn' - 'InverseVariance' - 'MaximumProbability' - 'SumEntropy' - 'SumSquares' glrlm: # for lists none values are allowed, in this case, all features are enabled glszm: gldm: # contains deprecated features, but as no individual features are specified, the deprecated features are not enabled