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
Book title:
HHAI2022: Augmenting Human Intellect