Performance metrics for models with elastic deformation (Elastic), rotation (Rotate), flipping (Flip), learning rate scheduler (Learning rate), and over-sampling for the validation dataset.

The Std Dev Diff represents the standard deviation over validation sections of the differences of the metrics to the default of No Augmentation and the Avg Diff is the overall average differences compared to the default model. All models had a background weight of 1.0, all layers fully trainable, and a 0.001 learning rate.