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训练强大的T1权重磁共振成像 肝脏细分模型 使用具有不同对比协议和肝脏疾病病因的数据集集

Nihil Patel1, Mohamed Eltaher1, Rachel Glenn1

  • 1The University of Texas MD Anderson Cancer Center.

Research square
|May 15, 2024
PubMed
概括

这项研究开发了一种深度学习模型,用于在T1wMR图像中自动细分肝脏. nnUNet模型的准确度超过90%,证明了它对肝癌治疗的稳定性.

关键词:
这是一个T1MRI.深度学习是一种深度学习.肝脏细分 细分肝脏的细分多个数据集培训坚固性 坚固性 坚固性

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相关概念视频

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...