深度学习模型的诊断能力可信吗？胸部X光分类中领域偏移的影响

Sep, 2019

深度学习模型的诊断能力可信吗？胸部X光分类中领域偏移的影响

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros

TL;DR本文通过评估胸部放射照相图像数据集中的移域偏移，考察不同数据集在深度学习模型的训练和测试中的性能差异，并证明在 CheXpert 和 MIMIC-CXR 数据集上训练的模型更能够在其他数据集上实现更好的泛化。

Abstract

While deep learning models become more widespread, their ability to handle unseen data and generalize for any scenario is yet to be challenged. In medical imaging, there is a high heterogeneity of distributions a