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Glomerular Filtration

Glomerular Filtration

The filtration membrane in the renal system is a highly specialized structure essential for filtering blood. It consists of glomerular capillaries and podocytes, forming a selective barrier that permits the passage of water and small solutes while restricting most plasma proteins and blood cells.
Components of the Filtration Membrane
The filtration process involves three key layers: the glomerular endothelial cells, the basement membrane, and the podocyte-formed filtration slits.

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Updated: May 5, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

GloFinder:人工智能支持的QuPath插件,用于WSI级的球体检测,可视化和策划.

Jialin Yue¹, Tianyuan Yao², Ruining Deng²

¹Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.

Journal of pathology informatics

|April 7, 2025

概括

全新的QuPath插件GloFinder使用人工智能在整个幻灯片图像中自动检测脏块. 该工具通过提供单击分析和用户友好的编辑功能,提高了临床医生的可访问性.

关键词:

自动化膜检测检测器循环网循环网循环网医疗图像分析医疗图像分析这是一个QuPath插件.脏病理学脏病理学权重的圆聚变循环.整个幻灯片图像的图像.

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相关实验视频

Last Updated: May 5, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

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Published on: August 18, 2023

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Published on: February 9, 2024

科学领域:

腎病理學腎病理學
计算病理学计算病理学
人工智能在医学中的应用

背景情况:

在整个幻灯片图像 (WSIs) 中自动检测结质对病理学分析至关重要.
现有的AI工具往往需要编程专业知识,限制了临床医生的可访问性.
当前的模型可能缺乏灵活性,并且通常在有限的数据集上进行训练.

研究的目的:

开发一种易于使用,易于使用的AI工具,用于WSI中的自动球检测.
提高人工智能驱动球体检测在病理学的准确性和灵活性.
促进病理学研究和实践的无整合到临床工作流程中.

主要方法:

介绍GloFinder,一个QuPath插件,用于单击自动球检测.
利用CircleNet,一个带有圆形表示的无检测框架.
实施加权圆融合,一种组合方法,结合多个CircleNet模型进行精细预测.
在大约16万个手动注释的质细胞上进行培训.

主要成果:

环球搜索器 (GloFinder) 提供了一次单击的自动检测,可以在整个环球搜索引擎 (WSIs) 上检测出全身质.
该插件可以在QuPath图形用户界面内进行在线编辑和直接可视化结果.
权重圆融合通过合奏建模提高了预测准确性.
与现有方法相比,在淋巴细胞检测方面取得了更高的性能.

结论:

在病理学中,GloFinder提供了一种强大且易于使用的解决方案,用于自动化球体检测.
该插件简化了临床医生和研究人员的分析,提高了病理学方面的效率.
增强的用户交互和准确性使GloFinder成为研究和临床实践的宝贵工具.