Table 1.

Class prediction probabilities obtained for various images by the different CNN models available in DUNEScan.

Image namea	Image identifierb	ResNet50	EfficientNet	InceptionV3	MobileNetv2	SwAV	BYOL
Mel1	ISIC_0024482	0.95	0.81	0.81	0.81	0.96	0.01
Mel2	ISIC_0024751	1.00	0.91	0.26	0.95	0.96	0.07
Nv1	ISIC_0024320	0.00	0.48	0.27	0.12	0.36	0.03
Nv2	ISIC_0024334	0.02	0.27	0.66	0.36	0.03	0.06
Nv3	ISIC_0024307	0.45	0.43	0.53	0.58	0.03	0.1
Bkl1	ISIC_0024337	0.30	0.09	0.16	0.12	0.05	0.47

The predictions are represented as probability of malignancy, p(malignancy). The probability of benignancy can be obtained by 1-p(malignancy).

^aArbitrary name used as a reference in this publication.

^bISIC image identifier.