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Updated: Jan 7, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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来自多参数MRI的基于机器学习的放射学,用于预测清细胞细胞癌中的侵略性病理

Jie Zhan1, Lei Sun2, Enming Cui3

  • 1Department of Radiology, Guangzhou First People's Hospital, Guangzhou, Guangdong, 510180, China.

BMC medical imaging
|December 30, 2025
PubMed
概括

使用T2加权的MRI放射学模型的机器学习模型可以准确地区分攻击性和惰的透明细胞脏细胞癌 (ccRCC). 这种方法有助于个性化治疗,通过在手术前识别高风险ccRCC瘤.

关键词:
分类 分类 分类 分类.清细胞脏细胞癌.这就是为什么MRI是MRI.机器学习是机器学习.病理学 病理学 病理学

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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