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一个自动化工具来对非结构化MRI数据进行分类和转换,将其转化为BIDS数据集

Alexander Bartnik1, Sujal Singh1, Conan Sum1

  • 1Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 77 Goodell St, Buffalo, NY, 14203, USA.

Neuroinformatics
|March 26, 2024
PubMed
概括

本研究介绍了一种自动化方法来分类磁共振成像 (MRI) 数据,并将其组织成脑成像数据结构 (BIDS) 格式. XGBoost模型实现了高精度,简化了用于临床研究的神经成像数据管理.

关键词:
自动化自动化自动化自动化自动化这就是BIDS BIDS.数据策划数据策划机器学习 机器学习磁共振成像是一种磁共振成像技术.可复制性 可复制性

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...