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etdrs_calculation_algorithm

Algorithm for computing ETDRS subfields.

Not currently used in the project but may be useful in the future.

Classes​

ETDRSAlgorithm​

class ETDRSAlgorithm(    datastructure: DataStructure,    laterality: str,    slo_photo_location_prefixes: Optional[SLOSegmentationLocationPrefix] = None,    slo_image_metadata_columns: Optional[SLOImageMetadataColumns] = None,    oct_image_metadata_columns: Optional[OCTImageMetadataColumns] = None,    threshold: float = 0.7,    calculate_on_oct: bool = False,    slo_mm_width: float = 8.8,    slo_mm_height: float = 8.8,    **kwargs: Any,):

Algorithm for computing ETDRS subfields.

Arguments

  • datastructure: The data structure to use for the algorithm.
  • laterality: The column name of the column that contains the laterality of the scans.
  • oct_image_metadata_columns: A list of column names for the OCT image. Should include the width and depth size in mm. Defaults to None.
  • slo_photo_location_prefixes: The list of column names for the locations of the OCT segmentation on the SLO. Should include the location and end of the first image on both x and y-axis as well as the start location of the last image on both x and y-axis. Defaults to None.
  • slo_image_metadata_columns: A list of column names for the SLO image. Should include the width and height in mm. Defaults to None.
  • threshold: The threshold for the segmentation. Defaults to None.

Ancestors​

Variables​

  • static fields_dict : ClassVar[T_FIELDS_DICT]

Methods​

modeller​

def modeller(    self, *, context: ProtocolContext, **kwargs: Any,) ‑> NoResultsModellerAlgorithm:

Inherited from:

BaseNonModelAlgorithmFactory.modeller :

Modeller-side of the algorithm.

worker​

def worker(    self, *, context: ProtocolContext, **kwargs: Any,) ‑> bitfount.federated.algorithms.ophthalmology.etdrs_calculation_algorithm._WorkerSide:

Inherited from:

BaseNonModelAlgorithmFactory.worker :

Worker-side of the algorithm.