相关实验视频

Updated: Jun 29, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

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一个智能分段和分类模型,使用基于增强优化的注意力面具RCNN和循环移动网络与LSTM用于多发性硬化症类型的临床大脑MRI.

G Gopichand1, Kovvuri N Bhargavi2, M V S Ramprasad3

  • 1School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

NMR in biomedicine
|April 24, 2025
PubMed
概括

这项研究引入了一种使用先进人工智能的深度学习系统,用于从MRI扫描中分类多发性硬化症 (MS). 这种创新的模型实现了高精度,改善了多发性硬化症的诊断,并可能降低医疗保健成本.

关键词:
基于适应性和注意力的面具区域卷积神经网络神经网络.增强的松树优化算法多发性硬化症类型 多发性硬化症类型经常性移动网络与长期短期内存层.细分和分类的细分和分类.

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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).