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通过机器学习 (DECAM) 在灵长类大脑中基于扩散MRI的皮质结构估计

Tianjia Zhu1,2, Minhui Ouyang1,3, Shufang Tan1,4

  • 1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 5, 2026
PubMed
概括

No abstract available in PubMed .

关键词:
生物标志物皮层细胞结构深度学习扩散核磁共振灵长类动物虚拟组织学

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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).
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