相关实验视频

Updated: Jun 29, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

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使用卷积神经网络对身体MRI序列类型的自动分类

Kimberly Helm1, Tejas Sudharshan Mathai1, Boah Kim1

  • 1Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.

ArXiv
|March 26, 2024
PubMed
概括

这项研究引入了一种自动化方法来分类胸部,腹部和骨盆的3D磁共振成像 (MRI) 序列. 我们的AI模型准确地识别了MRI序列,减少了临床研究和AI开发中手动审查的需要.

关键词:
身体身体身体身体身体身体身体身体身体分类 分类 分类 分类 分类.深度学习 (Deep Learning) 是一种深度学习.这就是为什么MRI是MRI.多个参数的多个参数.

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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...
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