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使用fMRI和深度学习对神经系统疾病进行分类的辅助工具:指南和示例.

Samuel L Warren1, Danish M Khan2, Ahmed A Moustafa1,3

  • 1Faculty of Society and Design, School of Psychology, Bond University, Gold Coast, Queensland, Australia.

Brain and behavior
|June 6, 2024
PubMed
概括

本研究介绍了深度学习和功能磁共振成像的辅助工具,创建了一个自闭症谱系障碍分类模型的例子,以帮助研究人员开发可访问的诊断工具.

关键词:
自闭症谱系障碍 (ASD)卷积神经网络 (CNN) 是一种神经网络.深度学习 (DL) 是指深度学习.疾病分类疾病分类.功能磁共振成像 (fMRI) 是一种功能性磁共振成像.

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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...
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