RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation

arXiv:2405.01228v1 Announce Type: new
Abstract: Deep learning models often encounter challenges in making accurate inferences when there are domain shifts between the source and target data. This issue is particularly pronounced in clinical settings due to the scarcity of annotated data resulting from the professional and private nature of medical data. Despite the existence of decent solutions, many of them are hindered in clinical settings due to limitations in data collection and computational complexity. To tackle domain shifts in data-scarce …

arxiv cs.cv domain filtering image medical random segmentation type