Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers

Problem: An application of Explainable Artificial Intelligence Methods for COVID CT-Scan classifiers is presented. Motivation: It is possible that classifiers are using spurious artifacts in dataset images to achieve high performances, and such explainable techniques can help identify this issue. Ai...

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Detalles Bibliográficos
Autores principales: Palatnik de Sousa, Iam, Vellasco, Marley M. B. R., Costa da Silva, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402377/
https://www.ncbi.nlm.nih.gov/pubmed/34451100
http://dx.doi.org/10.3390/s21165657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402377/
https://www.ncbi.nlm.nih.gov/pubmed/34451100
http://dx.doi.org/10.3390/s21165657

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