MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models

The recent prevalence of publicly accessible, large medical imaging datasets has led to a proliferation of artificial intelligence (AI) models for cardiovascular image classification and analysis. At the same time, the potentially significant impacts of these models have motivated the development of...

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Veröffentlicht in:	FAccT '24 : proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT '24) : June 3rd-6th 2024, Rio de Janeiro, Brazil. ACM Conference on Fairness, Accountability, and Transparency (2024 : Rio de Ja Jg. 2024; S. 1861
Hauptverfasser:	Guo, Grace, Deng, Lifu, Tandon, Animesh, Endert, Alex, Kwon, Bum Chul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.06.2024
Schlagworte:	explainable AI human-centered AI interactive visualizations counterfactual explanation
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