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Updated: Jul 8, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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根据乳腺癌MRI的弱和半监督联合学习预测病理完整反应

Xinyu Hao, Hongming Xu, Nannan Zhao

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括

    在接受新辅助化疗 (NAC) 的乳腺癌患者中预测完整的病理反应 (pCR) 是至关重要的. 这项研究引入了一种新的弱和半监督学习方法,使用多参数MRI和放射性特征进行准确的pCR预测.

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