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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images

Fig. 6

Mean training-epoch counts and mean training times. Mean training-epoch counts (above) and mean training times (below) for the 24 studied models. The four different symbol shapes/colors correspond to the four networks. Error bars are 95% confidence intervals. Horizontal axis labels stand for different ways of applying augmentation: A = Make three sets, then augment validation; B = Make three sets; C = Make three sets, then augment training; D = Make three sets, then augment both training and validation; E = Separate test set, augment the rest, then make two other sets; F = Augment all before making three sets. CI = confidence interval

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