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Updated: Jul 2, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

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神经网络的感官表现使用声音和颜色用于医疗成像细分医学成像

Irenel Lopo Da Silva1, Nicolas Francisco Lori2,3, José Manuel Ferreira Machado2

  • 1IT Department, Computer Engineering, School of Engineering, University of Minho, 4704-553 Braga, Portugal.

Journal of imaging
|December 24, 2025
PubMed
概括

这项研究提出了一种使用深度学习可视化和声化大脑成像数据的新方法. 这种感官表现有助于理解医疗,研究和创造性用途的大脑活动.

关键词:
深度学习是一种深度学习.功能磁力共振成像 (fMRI) 是一种图像分割 图像细分 图像细分感官表现是一种感官表现.稀疏图形神经网络的神经网络

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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).