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相关概念视频

Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments
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在基于深度学习的定量超声波中,机器对机器转移函数.

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    此摘要是机器生成的。

    一个新的机器对机器传输功能有效地减少了超声波扫描仪之间的数据不匹配. 这种方法显著提高了深度学习模型的准确性,并促进了模型跨不同机器的转移.

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    科学领域:

    • 医疗成像医学成像
    • 人工智能在医学中的应用
    • 定量超声波检查是什么

    背景情况:

    • 在定量超声波 (QUS) 中的深度学习 (DL) 面临着不同获取系统数据不匹配的挑战.
    • 现有的转移函数方法解决了单个扫描仪的获取级别不匹配问题.
    • 将这些方法扩展到多台机器对于更广泛的DL模型应用至关重要.

    研究的目的:

    • 引入和评估一个机器对机器 (M2M) 传输功能,以减轻超声系统之间的数据不匹配.
    • 证明降低DL模型开发成本的潜力,并使跨机器模型转移成为可能.
    • 评估校准幻象和传感器变化对M2M传输函数性能的影响.

    主要方法:

    • 开发并应用了一种新的M2M传输功能,以解决扫描器之间的数据变化.
    • 使用了两个不同的超声波机器 (SonixOne,Verasonics) 与不同的传感器阵列 (L9-4,L11-5).
    • 使用稳定和自由手方法进行采购,使用两个校准幻象,采用Wiener过启发的实现.

    主要成果:

    • 如果没有M2M方法,跨系统分类的准确性为50% (AUC 0.405).
    • 使用M2M方法,平均精度增加到99% (AUC 0.999).
    • 校准幻影的选择显著影响了性能;该方法在不同的传感器和单一校准视图下被证明是有效的.

    结论:

    • 拟议的M2M传输功能有效地减轻了基于DL的QUS.在机器层面的数据不匹配.
    • 这种方法显著提高了跨系统模型的通用性,并降低了开发成本.
    • 该方法提供了一个强大而高效的解决方案,用于在不同的超声波硬件之间传输DL模型.