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相关概念视频

Transcytosis of IgG01:15

Transcytosis of IgG

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Transcytosis is the process in which molecules are internalized by endocytosis, transported across the cell, and released through exocytosis from the opposite end of the cell. Molecules such as insulin, immunoglobulins, and certain nutrients are transferred through the recycling endosomes by recycling and transcytosis.
IgG molecules from a mother undergo transcytosis starting around 13 weeks of gestation. The amount of IgG transferred and entering the fetal blood circulation increases with...
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Immunocytochemistry and Immunohistochemistry01:22

Immunocytochemistry and Immunohistochemistry

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Immunocytochemistry (ICC) and immunohistochemistry (IHC) are techniques that use antibodies to check for specific proteins or antigens in a sample. The technique was first published by Albert Coons in 1941 to detect the presence of pneumococcal antigen in tissue sections from mice infected with Pneumococcus. Immunocytochemistry helps localization of proteins or antigens in individual cells like blood cells, stem cells, etc., while immunohistochemistry does the same for tissue samples.
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Immunogold Electron Microscopy01:20

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Immunoelectron microscopy utilizes immunogold labeling of endogenous proteins with specific antibodies to detect and localize these proteins in cells and tissues. The procedure provides insights into the distribution and quantification of protein under different stimulation conditions offering clues about their functions. Conjugating highly electron-dense gold particles with primary or secondary antibodies allow antigen detection on and within cells, with high resolution and specificity.
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Health Information Technology (HIT)
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The initiation of cell-mediated immunity can be observed as early as the third month of fetal growth, with active antibody-mediated immunity following approximately one month later.
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相关实验视频

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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通过机构间信息互补性来促进半监督医疗图像细分.

Shuai Wu, Ruyi Liu, Hang Wei

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    此摘要是机器生成的。

    这项研究引入了一种新的半监督医疗图像细分方法,该方法利用患者之间的解剖相似性. 这种方法提高了模型准确性和培训效率,即使使用有限的专家注释数据.

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    科学领域:

    • 医疗成像医学成像
    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 专家注释的数据对于医学图像细分至关重要,但很少.
    • 有限的标记数据阻碍了准确的细分模型的临床使用.
    • 实例间的解剖学互补性为数据稀缺提供了一个潜在的解决方案.

    研究的目的:

    • 开发一种新的半监督医疗图像细分的方法.
    • 利用实例间的解剖学互补性来提高模型的概括性和训练效率.
    • 解决医学成像中有限的专家注释数据的瓶.

    主要方法:

    • 一个半监督模型,将复制粘贴增强模块 (CPAM) 和可训练区域校准机制 (TRCM) 集成到平均教师 (MT) 框架中.
    • 通过在样本之间交换信息区域,CPAM增强了数据的多样性.
    • TRCM使用标记区域指导未标记数据校准,生成高质量的伪标签.

    主要成果:

    • 拟议的模型在各种医学图像数据集 (LA,ACCDC,BraTS2019,胰腺-NIH) 和模式 (MRI,CT) 中显示出强大的有效性.
    • 它在有限的注释数据设置中始终优于最先进的方法.
    • 在多个评估指标上取得了卓越的表现.

    结论:

    • 新的半监督方法有效地利用了实例间的解剖学互补性.
    • 协同作用的CPAM和TRCM组件显著提高了医疗图像细分性能.
    • 该方法提供了一个有前途的解决方案,用于训练精确的细分模型,使用有限的标记数据.