Across 11 medical imaging scenarios, a good adapted model usually exists, but label-free validators miss it by 6.1 points on average, and no tested validator is consistently reliable.
Advancing medical imaging informatics by deep learning-based domain adaptation.Yearbook of medical informatics, 29(01):129– 138, 2020
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How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging
Across 11 medical imaging scenarios, a good adapted model usually exists, but label-free validators miss it by 6.1 points on average, and no tested validator is consistently reliable.