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Learning from Noisy Labels
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
Learning segmentation from noisy labels is an important task for medical image analysis due to the difficulty in acquiring highquality annotations. Most existing methods neglect the pixel correlation and structural prior in segmentation, often …
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