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Updated: Jun 30, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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背景减去血管学与深度学习使用多空间时空血管学输入

Donald R Cantrell1,2,3, Leon Cho4, Chaochao Zhou4

  • 1Department of Radiology, Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL, 60611, USA. Donald.Cantrell@nm.org.

Journal of imaging informatics in medicine
|February 12, 2024
PubMed
概括

使用来自多个的时间信息的深度学习模型显著减少了数字减去血管学 (DSA) 中的运动工件. 一个3D U-Net模型在提高神经血管学图像质量方面表现出卓越的性能.

关键词:
卷积神经网络是一种卷积神经网络.数据增强数据增强数字减去血管学图.机器学习 机器学习神经血管学是一种神经血管学.有监督的学习学习.视觉变压器 视觉变压器

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Blood Flow01:29

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Overview of Blood Vessels

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Development of Blood Vessels

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Anatomy of Blood Vessels

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Arteries
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Applications of Integration to Find Blood Flow

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