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从老鼠MRI扫描中完全自动化整脑细分,使用卷积神经网络

Valerie A Porter1, Brad A Hobson2, Brent Foster3

  • 1Department of Biomedical Engineering, University of California, Davis, CA 95616, USA; Department of Radiology, University of California, Davis, CA 95817, USA.

Journal of neuroscience methods
|February 10, 2024
PubMed
概括

一个新的2D U-Net框架在MRI扫描中准确地细分临床前动物大脑. 这种自动化方法改善了对有机酸盐中毒和阿尔茨海默病模型的全脑划分.

关键词:
自动化细分系统 自动化细分系统这就是为什么MRI是MRI.机器学习 机器学习在临床前的神经成像动物大脑成像 动物大脑成像头骨剥离是为了剥离头骨.

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相关概念视频

Brain Imaging01:14

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 Stimulation (TMS).