SuperCL pre-trains segmentation networks by using superpixel-based pseudo masks to create intra-image and inter-image contrastive pairs, improving Dice scores on eight medical datasets.
Contrastive learning of global and local features for medical image segmentation with limited annotations,
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SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
SuperCL pre-trains segmentation networks by using superpixel-based pseudo masks to create intra-image and inter-image contrastive pairs, improving Dice scores on eight medical datasets.