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.

Exemplars and counterexemplars explanations for skin lesion classifiers

Metta C;Rinzivillo S
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.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Schlobach S., Pérez-Ortiz M., Tielman M.
HHAI2022: Augmenting Human Intellect
HHAI2022 - Augmenting Human Intellect
258
260
3
978-1-64368-309-6
https://ebooks.iospress.nl/volumearticle/60877
Sì, ma tipo non specificato
13-17/07/2022
Amsterdam, The Netherlands
Image classification
Adversarial autoencoders
Skin lesion image classification
Machine Learning
Explainable AI
Elettronico
5
open
Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   HumanE AI Network
   HumanE-AI-Net
   H2020
   952026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/443569
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