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Table 1 Five different training scenarios

From: Melanoma diagnosis using deep learning techniques on dermatoscopic images

Model Technique to modify the malignant/benign training ratio Malignant/Benign training ratio
Model 1 None 0.231
Model 2 Data augmentation applied to “malignant” class images, no changes to “benign” class images 0.440
Model 3 Data augmentation applied to “malignant” class images, down sampling applied to “benign” class images 0.463
Model 4 Data augmentation applied to “malignant” class images, down sampling applied in “benign” class images 1
Model 5 Data augmentation and addition of PH2 images applied to “malignant” class images, no changes to “benign” class images 0.256