论文标题
急性缺血性中风的最终梗塞预测
Final infarct prediction in acute ischemic stroke
论文作者
论文摘要
本文着重于每个人体的控制中心：大脑。我们将指出脑脉管系统的关键作用，以及其复杂机制如何在受试者之间变化。然后，我们强调特定的急性病理状态，即急性缺血性中风，并显示医学成像及其分析如何用于定义治疗。我们展示了如何使用不匹配标准在实践中使用核心 - 五角体概念，以及如何通过反卷积或卷积神经网络使用机器学习来预测最终梗塞。
This article focuses on the control center of each human body: the brain. We will point out the pivotal role of the cerebral vasculature and how its complex mechanisms may vary between subjects. We then emphasize a specific acute pathological state, i.e., acute ischemic stroke, and show how medical imaging and its analysis can be used to define the treatment. We show how the core-penumbra concept is used in practice using mismatch criteria and how machine learning can be used to make predictions of the final infarct, either via deconvolution or convolutional neural networks.
