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SPTCL effectively addresses the challenges of limited annotation in medical image segmentation by uniting contrastive learning with weak supervision. It demonstrates strong potential for practical deployment in clinical settings where high-quality labels are difficult to obtain.
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Ma et al. (2025) studied this question.
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