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Apr, 2019
医学影像领域自适应和泛化的有力基础
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging
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Li Yao, Jordan Prosky, Ben Covington, Kevin Lyman
TL;DR
本研究在医学成像中提供了多源、多目标域适应和泛化问题的强大基准,通过使用10个不同胸透数据集的多样性集合,我们实证演示了在训练医学成像深度学习模型应用于不同病人群体的好处,以用于样本外的域泛化。
Abstract
This work provides a strong baseline for the problem of
multi-source
multi-target
domain adaptation
and generalization in
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