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Updated: Jan 31, 2026

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基准白质高强度细分方法在异质临床MRI上失败:一个新的数据集和基于深度学习的解决方案

Junjie Wu1,2, Joshua D Brown3, Ranliang Hu3

  • 1Department of Neurology, School of Medicine, Emory University, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA. jwu40@emory.edu.

Journal of imaging informatics in medicine
|January 29, 2026
PubMed
概括

新的深度学习模型显示,在各种临床MRI扫描中,细分白质超强度 (WMH) 的精度提高了. 这些强大的算法解决了概括问题,帮助临床翻译.

关键词:
临床核磁共振 (MRI) 是一种临床核磁共振.深度学习的细分化 深度学习的细分化基金会模型 基金会模型白质的超强度是白质的超强度.在 nnU-Net 中使用.

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