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Evaluating Explainability: A Framework for Systematic Assessment of Explainable AI Features in Medical Imaging

Explainability features are intended to provide insight into the internal mechanisms of an Artificial Intelligence (AI) device, but there is a lack of evaluation techniques for assessing the quality of provided explanations. We propose a framework to assess and report explainable AI features in medi...

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書誌詳細
主要な著者: Miguel A. Lago, Ghada Zamzmi, Brandon Eich, Jana G. Delfino
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2026-01-01
シリーズ:Bioengineering
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オンライン・アクセス:https://www.mdpi.com/2306-5354/13/1/111
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