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