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Exemplars and counterexemplars explanations for skin lesion classifiers

Conference Paper
Publication Date:
2022
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Image classification; Adversarial autoencoders; Skin lesion image classification; Machine Learning; Explainable AI
List of contributors:
Rinzivillo, Salvatore; Metta, Carlo
Authors of the University:
RINZIVILLO SALVATORE
Handle:
https://iris.cnr.it/handle/20.500.14243/443569
Book title:
HHAI2022: Augmenting Human Intellect
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URL

https://ebooks.iospress.nl/volumearticle/60877
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