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Found 2 papers, 2 papers with code
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
To tackle domain shifts in data-scarce medical scenarios, we propose a Random frequency filtering enabled Single-source Domain Generalization algorithm (RaffeSDG), which promises robust out-of-domain inference with segmentation models trained on a single-source domain.
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
Consequently, domain generalization (DG) is developed to boost the performance of segmentation models on unseen domains.
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