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Updated: May 3, 2026

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CUAMT:基于上下文信息和混合不确定性的MRI半监督医疗图像细分框架

Hanguang Xiao1, Yangjian Wang1, Shidong Xiong1

  • 1School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China.

Computer methods and programs in biomedicine
|April 30, 2025
PubMed
概括

本研究引入了一种新的半监督医疗图像细分框架,通过利用上下文信息和混合不确定性来提高边界精度. 该模型有效地提高了细分性能,在基准数据集上表现优于现有的方法.

关键词:
一致性规范化规范化背景信息是指上下文信息.医疗图像细分 医疗图像细分半监督学习 半监督学习不确定性估计估计不确定性

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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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