A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging

Li Yao, Jordan Prosky, Ben Covington, Kevin Lyman

Published 2019-04-02Version 1

This work provides a strong baseline for the problem of multi-source multi-target domain adaptation and generalization in medical imaging. Using a diverse collection of ten chest X-ray datasets, we empirically demonstrate the benefits of training medical imaging deep learning models on varied patient populations for generalization to out-of-sample domains.