Semantic knowledge transfer for semi-supervised medical image segmentation

Published: 01 Jan 2025, Last Modified: 06 Aug 2025Eng. Appl. Artif. Intell. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Semantic mixing enhances information interaction between labeled and unlabeled data.•Label-guided inter-class contrastive learning enhances class representation learning.•A new semantic knowledge transfer framework for semi-supervised medical segmentation.
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