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Updated: Jul 28, 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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基于多参数MRI的可解释机器学习放射学模型,用于区分乳腺癌中的光线和非光线瘤:一个多中心研究

Yi Zhou1, Guihan Lin2, Weiyue Chen2

  • 1Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, Key Laboratory of Precision Medicine of Lishui City, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China; Department of Breast Surgery, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.

Academic radiology
|April 2, 2025
PubMed
概括

使用多参数MRI的可解释机器学习放射学模型可以准确地区分光线和非光线乳腺癌 (BC) 亚型,帮助治疗决策.

关键词:
乳腺癌 乳腺癌 乳腺癌发光器的光线是可以发光的.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) 是一种放射学.

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Magnetic Resonance Imaging01:24

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