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What is Cross-Modality UDA for Medical Segmentation about?

This paper presents a novel unsupervised domain adaptation (UDA) method for medical image segmentation that reduces the domain gap in both frequency and spatial domains. The proposed approach utilizes non-subsampled contourlet transform to identify and manipulate frequency components, combined with a histogram matching strategy for spatial domain adjustments, all within a multi-teacher distillation framework. Experimental results demonstrate that this method significantly outperforms existing state-of-the-a

Author

hscbdt

Language

EN