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Updated: Jul 4, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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[使用基于机器学习的磁共振成像放射学模型预测脑质瘤增强模式]

H He1, E Guo1, W Meng1

  • 1Nanfang Hospital/First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China.

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
|January 31, 2024
PubMed
概括

这项研究开发了一种机器学习放射学模型,使用T2-FLAIRMRI图像准确预测质瘤增强模式. 该模型显示了优化质瘤MRI工作流程的前景.

关键词:
大脑瘤是个大脑瘤机器学习是机器学习.磁共振成像技术的使用无线电学 (radiomics) 是一种无线电学.

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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