zea.models.carotid_segmenter

Carotid segmentation model.

Original implementation of paper:

• “Unsupervised domain adaptation method for segmenting cross-sectional CCA images”

• https://doi.org/10.1016/j.cmpb.2022.107037

• Author: Luuk van Knippenberg

Classes

CarotidSegmenter(*args, **kwargs)

Carotid segmentation model.

class zea.models.carotid_segmenter.CarotidSegmenter(*args, **kwargs)

Bases: BaseModel

Carotid segmentation model.

call(inputs)

Segment the input image.

get_config()

Returns the config of the object.

An object config is a Python dictionary (serializable) containing the information needed to re-instantiate it.