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Cell Level Models

Workflow Overview

The unsupervised models consist of a few components:

  • Segmentation
  • Feature Engineering
  • Classification (unsupervised)

A segmentation model segments the cells or cell components of note from the image in question. The cells are then reduced to a vector of features according to a feature manager. The feature representations of the cells are then classified by a classification model.

Each component can be developed independently, and a pipeline was established to facilitate hotswapping various implementations for each component.

Segmentation

TODO

Feature Engineering

TODO

Classification

TODO