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Updated: Jul 7, 2026

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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机器学习在预测使用MRI用于直肠癌中新辅助化学放射治疗的病理完整反应:系统性审查和元分析

Jia He1, Shang-Xian Wang2, Peng Liu1

  • 1Department of Radiology, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha 410002, China.

The British journal of radiology
|May 11, 2024
PubMed
概括

机器学习模型在预测直肠癌新辅助化疗和放射治疗的病理完整反应方面显示出显著的希望. 深度学习模型的准确性高于传统模型,为直肠癌治疗推进了精准医学.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习是机器学习.这是一个元分析.新辅助性化疗或放射治疗.无线电学 (radiomics) 是一种无线电学.这是直肠癌.

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