论文标题
一个新颖的度量标准显示了图形群落对大脑缩写假阳性的鲁棒性
A Novel Metric Shows the Robustness of the Graph Communities to Brain-Tractography False-Positives
论文作者
论文摘要
我们研究了脑拖拉术在脑连接图中误报的影响。用于分析的代表性输入数据库是来自ISMRM-2015 Tractography挑战的参与者的一组段落图。我们建议将2个新型指标与已知地面真理进行比较时对拖拉图的质量进行排名。这项研究的结果表明，图形群落的估计在连通性中高估了高度高估。
We study the impact of the brain tractography false positives in the brain connectivity graphs. The representative input database for the analysis is the set of tractograms from the participants on the ISMRM-2015 Tractography Challenge. We propose 2 novel metrics to rank the quality of a tractogram when it is compared with known ground truth. The results of this study indicate that the estimation of graph communities is robust to high levels of overestimation in the connectivity.
