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Found 2 papers, 1 papers with code
Clean Label Disentangling for Medical Image Segmentation with Noisy Labels
Current methods focusing on medical image segmentation suffer from incorrect annotations, which is known as the noisy label issue.
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework
Moreover, we also propose a novel multi-stage multi-attention guided enhancement network (MAGE-Net) as the backbones of our teacher and student network.
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