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Updated: May 6, 2026

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基于深度学习的显微扩散系数地图生成来自多参数MRI图像的扩散质瘤患者

Zach Eidex1, Mojtaba Safari1, Jacob Wynne1

  • 1Department of Radiation Oncology, Emory, University, Atlanta, Georgia, USA.

Medical physics
|November 8, 2024
PubMed
概括

这项研究引入了一个深度学习模型,从标准MRI扫描中创建准确的表面扩散系数 (ADC) 地图,克服传统扩散加权成像 (DWI) 的局限性. 开发的框架合成了高质量的ADC地图,提高了诊断能力.

关键词:
酒后驾驶 酒后驾驶 酒后驾驶这就是为什么MRI是MRI.深度学习是一种深度学习.质瘤 质瘤 是一种静脉内MRI合成的方法

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