相关实验视频

Updated: Jan 9, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

校正:深度学习算法的诊断精度用于分类无对比的大脑CT报告

Hamza Eren Güzel¹, Göktuğ Aşcı², Oytun Demirbilek³

¹Department of Radiology, İzmir City Hospital, İzmir, Türkiye.

Frontiers in radiology

|December 10, 2025

概括

这项研究纠正了先前发表的一篇文章. 校正确保了科学记录的准确性,以便在未来进行研究和引用.

科学领域:

科学出版业的科学出版.
研究完整性研究完整性
学术传播学术交流

背景情况:

确保发表的科学文献的准确性至关重要.
修正是必要的,以保持研究记录的完整性.
适当的归因和引用取决于准确的文章标识符.

研究的目的:

纠正以前发表的文章.
为了提供准确的文章DOI,以便正确引用.
确保科学记录的完整性.

主要方法:

文章 DOI 验证.
出版商的通知和纠正过程.
在线平台更新.

主要成果:

文章DOI已经被纠正.
更新的DOI现在公开提供.
这确保了研究的适当链接和引用.

结论:

准确的DOI对于学术交流至关重要.
校正过程维护了研究的完整性.
这确保了对科学发现的可靠访问.

关键词:

人工智能的人工智能是人工智能.计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.没有对比度的头部CT CT.报告分类报告分类报告.

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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...