How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging
Deploying unsupervised domain adaptation (UDA) in clinical practice requires choosing which algorithm to use and which of its trained models to ship. However, the deployment (target) domain is unlabeled, so models cannot be evaluated directly on it, leaving it unclear which to select. We address this by evaluating the complete UDA pipeline, considering both adaptation and label-free selection together. Our study covers eleven clinically relevant cross-domain scenarios from nine medical imaging d
Record details
Published: 12 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Healthcare
Retrieved: 13 August 2026
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ethics.ai (12 August 2026), “How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging,” evidence record 19042, https://ethics.ai/record/19042 (originally published by arXiv cs.AI).
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