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Updated: Jan 13, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

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以人工智能驱动的扩散加权成像为基础的乳腺癌诊断非对比方案:一个多中心的多维验证研究

Yulu Liu1,2, Haoquan Chen1, Jiaqi Zhao3

  • 1Department of Radiology, Peking University People's Hospital, Beijing, 100044, China.

EClinicalMedicine
|January 7, 2026
PubMed
概括

使用扩散加权成像 (DWI) 的深度学习模型准确诊断乳腺癌,与增强的MRI性能相匹配,同时减少解释时间. 这个人工智能工具为乳腺癌诊断提供了更快,更安全的替代方案.

关键词:
乳腺癌 乳腺癌 乳腺癌深度学习是一种深度学习.诊断模型是一个诊断模型.扩散权重的MRI是扩散权重的多行业多案例研究.

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