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Updated: Sep 9, 2025

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多区域多参数深度学习放射学用于诊断临床显著的前列腺癌

Xijun Liu1,2, Rongzong Liu3, Haihao He1,2

  • 1The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, School of Communication and Information Engineering, Shanghai University, Shanghai, China.

Journal of imaging informatics in medicine
|August 29, 2025
PubMed
概括

使用MRI的新型深度学习放射学方法精确地识别出临床意义上的前列腺癌 (csPCa). 这种可解释的多区域方法可以提高诊断准确度,而不是单一区域模型,从而更好地管理患者.

关键词:
临床意义上的前列腺癌多区域性多参数磁共振成像辐射学

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Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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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