Table 2.

Obtained classification accuracies when AlexNet-fc7 and Vgg16-fc7 deep features concatenation is used

	Accuracy (%)
	40X	100x	200x	400x
Fold 1	85.10	89.34	87.77	87.94
Fold 2	86.39	88.23	86.10	84.48
Fold 3	83.41	91.18	93.78	90.71
Fold 4	82.71	87.25	85.86	79.87
Fold 5	85.29	89.16	88.05	87.03

The bold cases show the best accuracy values for each fold