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PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization
Reliable clinical deployment of deep medical image models is hindered by distribution shifts across scanners, sites, and acquisition protocols. Existing domain generalization (DG) methods often focus on style or intensity diversification, but they can still leave networks dependent on domain-specifi
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