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Updated: Mar 12, 2026

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

Published on: July 17, 2020

校正:用于合成MRI生成的参数优化的生成对抗性网络框架:微调关键变量以提高图像保真度

Anto Lourdu Xavier Raj Arockia Selvarathinam¹, Naveenkumar Anbalagan², Parvathaneni Naga Srinivasu³

¹Department of Data Science and Analytics, College of Computing, Grand Valley State University, Allendale, MI, United States.

Frontiers in medicine

|March 11, 2026

概括

这项研究纠正了先前发表的一篇文章DOI. 通过更正的引用提供更多细节.

科学领域:

对科学文献进行校正.
学术沟通标准学术沟通标准

背景情况:

确保科学出版物的准确性至关重要.
适当的引用管理可以防止错误信息.

研究的目的:

为特定出版物提供正确的文章DOI.
为了促进科学研究的准确检索.

主要方法:

在原始出版物中识别错误的DOI.
验证并获得正确的DOI.
发出一个纠正通知.

主要成果:

这篇文章的DOI已更新为10.3389/fmed.2025.1731370.
现在正确的版本取代了原始引用.

结论:

准确的DOI对于科学记录的完整性至关重要.
读者应该参考修正的DOI来访问该文章.

关键词:

风格GAN2 的样式有条件的GANAN.生成性的对抗性网络.医学图像合成医学图像合成我们必须钱.参数优化的参数优化合成核磁共振 (MRI) 的生成.

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