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Updated: Jun 11, 2025

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深度ResBat:深度剩余批量协调,考虑共变量分布差异

Lijun An1, Chen Zhang1, Naren Wulan1

  • 1Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; Department of Medicine, Healthy Longevity Translational Research Programme, Human Potential Translational Research Programme & Institute for Digital Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; N.1 Institute for Health, National University of Singapore, Singapore.

Medical image analysis
|October 5, 2024
PubMed
概括

在不同地点协调MRI数据至关重要. 新的深度学习方法DeepResBat和coVAE通过计算共变量来提高协调性,DeepResBat表现出卓越的性能并避免与coVAE不同的是错误的阳性.

关键词:
共同变量 共同变量 共同变量深度学习是一种深度学习.这是错误的阳性.核磁共振成像协调协调工作

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