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Updated: Jun 14, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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评估降噪策略在CT输液成像中的影响,以预测深度学习的心脏病核心

James J F Crouch1, Timothé Boutelier2, Adam Davis2

  • 1Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.

The neuroradiology journal
|January 10, 2025
PubMed
概括

深度学习模型在CT输液扫描上有效地识别中风心脏病发作,无论使用的降噪方法如何. 这种适应性简化了诊断,并管理了急性缺血性中风病例中的数据质量变化.

关键词:
降低噪音 减少噪音计算机断层扫描输液输液卷积神经网络是一种卷积神经网络.心脏病发作细分的细分脑中风的诊断 脑中风的诊断

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