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Application of Deep Learning to Ischemic and Hemorrhagic Stroke Computed Tomography and Magnetic Resonance Imaging.

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收录情况： ◇ SCIE

作者：

机构： [1]Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Stanford, CA. [2]Department of Neurology, Xuan Wu hospital, Capital Meidcal University, Beijing, China. [3]Subtle Medical Inc, Menlo Park, CA

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摘要：

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.Copyright © 2022 Elsevier Inc. All rights reserved.

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出版当年[2021]版：

大类 | 4 区医学

小类 | 4 区核医学

最新[2023]版

：

大类 | 4 区医学

小类 | 4 区核医学

JCR分区：

出版当年[2020]版：

Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

最新[2023]版：

Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 1.5 最新[2023版] 2 最新五年平均 1.875 出版当年[2020版] 1.884 出版当年五年平均 1.18 出版前一年[2019版] 1.641 出版后一年[2021版]

第一作者：

第一作者机构： [1]Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Stanford, CA.

通讯作者：

通讯机构： [1]Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Stanford, CA. [*1]Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, 300 Pasteur Dr, Grant - S047, Stanford, CA 94305

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