clinicadl.transforms.config.ZNormalizationConfig

clinicadl.transforms.config.ZNormalizationConfig[source]

Config class for torchio.transforms.ZNormalization.

A function for masking_method is not supported currently.

The keys of the input DataPoint on which the transforms will be applied can be specified via include (only these keys will be transformed) or exclude (all the keys except these ones will be transformed).

copy argument determines if the raw input DataPoint will be returned (False), or a copy (True).

parameter masking_method: Union[str, AnatomicalLabel, NonNegativeInt, Tuple[NonNegativeInt, NonNegativeInt, NonNegativeInt], Tuple[NonNegativeInt, NonNegativeInt, NonNegativeInt, NonNegativeInt, NonNegativeInt, NonNegativeInt], None] = None
parameter include: Optional[Sequence[str]] = None
parameter exclude: Optional[Sequence[str]] = None
parameter copy_: bool = False (alias 'copy')