A segmentation training framework that aligns class-conditional mean and covariance with contrastive learning and enhances high-frequency structure via wavelets reports state-of-the-art Dice scores on Fundus and Prostate benchmarks.
Domain generalization with adversarial feature learning,
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From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation
A segmentation training framework that aligns class-conditional mean and covariance with contrastive learning and enhances high-frequency structure via wavelets reports state-of-the-art Dice scores on Fundus and Prostate benchmarks.