相关实验视频

Updated: May 12, 2026

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Published on: November 20, 2015

对"使用CNN架构在MR图像中区分脑中风类型的存在"的纠正

Srisabarimani Kaliannan¹, Arthi Rengaraj¹

¹Department of ECE, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.

Current medical imaging

|August 26, 2024

概括

这项研究详细介绍了使用CNN架构在MRI图像中区分脑中风类型的研究的作者关系的更新. 修正后的归属为作者提供了更具体的位置细节.

科学领域:

医疗成像医学成像
计算机科学计算机科学

背景情况:

在磁共振 (MR) 图像中精确区分脑中风类型对于及时和有效的治疗至关重要.
卷积神经网络 (CNN) 架构在分析复杂的医学成像数据方面表现有前途.

研究的目的:

为题为"使用CNN架构在MR图像中区分脑中风类型的存在"的文章提供最新的作者归属.
确保参与研究人员的准确归因和联系信息.

主要方法:

该研究使用CNN架构来分析MRI图像.
该方法包括根据成像特征区分不同类型的脑中风.

主要成果:

这篇文章介绍了一种方法来区分使用CNN的中风类型.
在线版本中对作者附属部分进行了更新.

结论:

这项研究有助于通过深度学习推进自动化中风诊断.
准确的作者信息对于科学完整性和合作至关重要.

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Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

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Published on: June 2, 2023

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