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Unsupervised single-domain generalization for tissue classification via progressive domain transformation
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DOI：10.1016/j.media.2026.104118.png)
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Abstract
En 中文
• An unsupervised framework named USD-PG is proposed for single-domain generalization. • Two progressive data transformations are proposed to learn domain-invariant information. • A multi-scanner tissue classification dataset is released for related research.
Keywords:
USD-PG
single-domain generalization
domain-invariant information
progressive domain transformation
tissue classification
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