• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>SPIE Medical Imaging Conference >Examining Structural Patterns and Causality in Diabetic Nephropathy using inter-Glomerular Distance and Bayesian Graphical Models
【24h】

Examining Structural Patterns and Causality in Diabetic Nephropathy using inter-Glomerular Distance and Bayesian Graphical Models

机译：使用肾小球间距和贝叶斯图形模型检查糖尿病肾病中的结构模式和因果关系

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In diabetic nephropathy (DN), hyperglycemia drives a progressive thickening of glomerular filtration surfaces,increased cell proliferation as well as mesangial expansion and a constriction of capillary lumens. This leads toprogressive structural changes inside the Glomeruli. In this work, we make a study of structural glomerular changesin DN from a graph-theoretic standpoint, using features extracted from Minimal Spanning Trees (MSTs) constructedover intercellular distances in order to classify the “packing signatures” of different DN stages. We furtherinvestigate the significance of the competing effects of Volume change measured here in 2Dimensional Pixel spanarea (Area) on one hand and increased cell proliferation on the other in determining the packing patterns. Towardsthat we formulate the problem as Dynamic Bayesian Network (DBN). From our preliminary results we do postulatethat volume expansion caused by internal pressure as capillary lumens constriction has perhaps has a greater effectin the early stages.
机译：在糖尿病肾病（DN）中，高血糖驱动肾小球过滤表面的渐进性，增加细胞增殖以及毛细血管毛细血管的梭菌膨胀和收缩。这将导致肾小球内部的渐进结构变化。在这项工作中，我们研究了结构性肾小球变化在DN中，使用从最小的跨越树（MSTS）中提取的特征（MSTS）构造的特征在细胞间距离上，以分类不同DN阶段的“包装签名”。我们进一步调查在此处测量的体积变化的竞争效应的重要性，在此处测量的2二维像素跨度在确定包装模式时，一方面（区域）一方面的细胞增殖增加。向我们制定了动态贝叶斯网络（DBN）的问题。从我们的初步结果来看我们假设由于毛细血管收缩的内部压力引起的该体积膨胀可能具有更大的效果在早期阶段。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号