可解释的人工智能(AI) -显著性地图

Shengping Yang, G. Berdine
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引用次数: 0

摘要

人工智能模型的可解释性,并可能提高专家如何解释困难的例子。在生物医学成像中,最佳做法可能需要通过解释性人工智能对放射图像进行初步分类,并由人类专家对困难病例进行后续审查。
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Interpretable artificial intelligence (AI) – saliency maps
explainability of AI models to consumers of the predictions, and to possibly improve how experts interpret the difficult examples. In biomedical imaging, the best practice may require preliminary sorting of radiographic images by interpretive AI with follow-up review by a human expert for the difficult cases.
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