Unlabeled Insight, Labeled Boost: Contrastive Learning and Class-Adaptive Pseudo-Labeling for Semi-Supervised Medical Image Classification
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DOI: 10.3390/e27101015
Abstract: The medical imaging domain frequently encounters the dual challenges of annotation scarcity and class imbalance. A critical issue lies in effectively extracting information from limited labeled data while mitigating the dominance of head classes. The… read more here.
Keywords: class; semi supervised; class adaptive; adaptive pseudo ... See more keywords