Document - Exemplars and counterexemplars explanations for skin lesion classifiers

2022

Conference article Open Access

Exemplars and counterexemplars explanations for skin lesion classifiers

Metta C., Guidotti R., Yin Y., Gallinari P., Rinzivillo S.

Image classification Adversarial autoencoders Skin lesion image classification Machine Learning Explainable AI

Explainable AI consists in developing models allowing interaction between decision systems and humans by making the decisions understandable. We propose a case study for skin lesion diagnosis showing how it is possible to provide explanations of the decisions of deep neural network trained to label skin lesions.

Source: HHAI2022 - Augmenting Human Intellect, pp. 258–260, Amsterdam, The Netherlands, 13-17/07/2022

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@inproceedings{oai:it.cnr:prodotti:472030,
	title = {Exemplars and counterexemplars explanations for skin lesion classifiers},
	author = {Metta C. and Guidotti R. and Yin Y. and Gallinari P. and Rinzivillo S.},
	doi = {10.3233/faia220209},
	booktitle = {HHAI2022 - Augmenting Human Intellect, pp. 258–260, Amsterdam, The Netherlands, 13-17/07/2022},
	year = {2022}
}