Keywords: medical imaging, deep learning, domain adaptation, domain generalization, chest x-ray
Abstract: 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.
Code Of Conduct: I have read and accept the code of conduct.
3 Replies
Loading