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Cer-ConvN3Unet:一个基于MRI的端到端多参数管道,用于自动检测和细分宫癌

Shao-Jun Xia1, Bo Zhao1, Yingming Li2

  • 1Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China.

European radiology experimental
|February 18, 2025
PubMed
概括

这项研究引入了人工智能管道,用于在多参数MRI上自动检测和细分宫癌,大大减少了放射科医生的工作量,提高了癌症评估的准确性.

关键词:
人工智能的人工智能是人工智能.自动检测和细分自动化检测和细分深度学习是一种深度学习.磁共振成像技术 磁共振成像技术子宫瘤是什么?子宫瘤是什么?

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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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