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Found 2 papers, 2 papers with code
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation
In this paper, we rethink the relationship between semi-supervised learning (SSL) and domain generalization (DG), which are the cutting-edge approaches to address the annotated data-driven constraints and the domain shift issues.
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Extensive experiments validate the effectiveness of MLN-net in segmenting clustered microcalcifications from different domains and the its segmentation accuracy surpasses state-of-the-art methods.
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