Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images
Fig 14
Held-out plates were classified with a decision tree trained on the remainder of the dataset.
The new metrics derived with our approach tends to have better classification accuracies, especially for the control class (DMSO) and the modulator of neuronal receptors (NRM). Mean F1 score is 0.916 with the graph derived metrics, and 0.826 with the CellProfiler shape metrics.