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Updated: Jun 16, 2025

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基于MRI的机器学习放射学用于预测乳腺侵入性导管癌中HER2表达状态

Hong-Jian Luo1, Jia-Liang Ren2, Li Mei Guo3

  • 1Department of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zuiyi, Guizhou province, China.

European journal of radiology open
|August 16, 2024
PubMed
概括

使用MRI的机器学习放射学可以预测人类表皮生长因子受体2 (HER2) 在侵入性导管性乳腺癌 (IDC) 中的表达. 这种非侵入性方法可以帮助分类HER2状态,指导治疗决策.

关键词:
人类表皮生长因子受体2侵袭性乳腺管道癌乳腺癌.机器学习是机器学习.磁共振成像技术 磁共振成像技术无线电学 (Radiomics) 是一种无线电学.

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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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