On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness-Reference-Cited by-同舟云学术

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On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness

Published:2024-08 Issue: Volume:253 Page:108238
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Lamprou Vangelis^ORCID,Kallipolitis Athanasios^ORCID,Maglogiannis Ilias^ORCID

Publisher

Elsevier BV

Reference51 articles.

1. Explainable artificial intelligence: an analytical review;Angelov;Wiley Interdiscip. Rev. Data Min. Knowl. Discov.,2021

2. Explainable artificial intelligence (xai) in auditing;Zhang;Int. J. Account. Inf. Syst.,2022

3. Explanations in autonomous driving: A survey;Omeiza;IEEE Trans. Intell. Transp. Syst.,2021

4. Explainable artificial intelligence in cybersecurity: A survey;Capuano;IEEE Access,2022

5. Interpretable and explainable machine learning for materials science and chemistry;Oviedo;Acc. Mater. Res.,2022

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