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Updated: Jun 21, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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反事实因果干预用于可解释的医学视觉问题答案

Linqin Cai, Haodu Fang, Nuoying Xu

    IEEE transactions on medical imaging
    |July 9, 2024
    PubMed
    概括

    这项研究引入了医学视觉问题答案 (VQA-Med) 的新模型,该模型使用反事实因果推理来改进临床问题的回答和解释方式. CCIS-MVQA模型增强了可解释性,并优于对基准数据集的现有方法.

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