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Found 2 papers, 1 papers with code
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification
The overall framework, namely as Prototype-aware Contrastive learning (ProCo), is unified as a single-stage pipeline in an end-to-end manner to alleviate the imbalanced problem in medical image classification, which is also a distinct progress than existing works as they follow the traditional two-stage pipeline.
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation
Due to the lack of expertise for medical image annotation, the investigation of label-efficient methodology for medical image segmentation becomes a heated topic.
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