Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Stanford, CA.
Department of Neurology, Xuan Wu hospital, Capital Meidcal University, Beijing, China.
Semin Ultrasound CT MR. 2022 Apr;43(2):147-152. doi: 10.1053/j.sult.2022.02.004. Epub 2022 Feb 11.
Deep Learning (DL) algorithm holds great potential in the field of stroke imaging. It has been applied not only to the "downstream" side such as lesion detection, treatment decision making, and outcome prediction, but also to the "upstream" side for generation and enhancement of stroke imaging. This paper aims to comprehensively overview the common applications of DL to stroke imaging. In the future, more standardized imaging datasets and more extensive studies are needed to establish and validate the role of DL in stroke imaging.
深度学习（DL）算法在中风影像领域具有巨大的潜力。它不仅应用于“下游”方面，如病灶检测、治疗决策和预后预测，也应用于“上游”方面，如中风影像的生成和增强。本文旨在全面综述 DL 在中风影像中的常见应用。未来需要更多标准化的影像数据集和更广泛的研究来建立和验证 DL 在中风影像中的作用。
