TCSA-UDA aligns image features to text-based class semantics and class prototypes to reduce cross-modality domain shift in unsupervised medical image segmentation.
Magnetic resonance imaging versus com- puted tomography for three-dimensional bone imaging of musculoskele- tal pathologies: a review
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TCSA-UDA: Text-Driven Cross-Semantic Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation
TCSA-UDA aligns image features to text-based class semantics and class prototypes to reduce cross-modality domain shift in unsupervised medical image segmentation.