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Updated: Aug 6, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于非对比CTCT的多尺度和多感知特征学习来检测基于非对比CTCT的胰腺损伤

Tian Yan1,2,3, Geye Tang1,2, Haojie Zhang4

  • 1School of Biomedical Engineering, Southern Medical University, Guangzhou, People's Republic of China.

Physics in medicine and biology
|April 8, 2024
PubMed
概括

研究人员开发了一种新的AI模型,使用非对比CT扫描来早期检测胰腺病变. 这种先进的工具在识别胰腺癌方面显著改善,为更好的患者结果提供了希望.

关键词:
在的卷积过程中.注意力机制注意力机制损伤检测检测损伤的检测多尺度和多感知特征学习的学习特征是多尺度和多感知.胰腺癌是一种癌症.

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