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在双参数前列腺MRI中评估图像质量的深度学习:可行性研究

Deniz Alis1, Mustafa Said Kartal2, Mustafa Ege Seker3

  • 1Acibadem Mehmet Ali Aydinlar University, School of Medicine, Department of Radiology, Istanbul, 34457, Turkey.

European journal of radiology
|June 24, 2023
PubMed
概括

深度学习 (DL) 显示了自动化双参数MRI质量评估的前景,与经验较少的读者匹配. 这项技术可以协助或取代人类视觉评估,以提高一致性.

关键词:
深度学习 (Deep Learning) 是一种深度学习.图像质量 图像质量这就是为什么MRI是MRI.前列腺 前列腺前列腺

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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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