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 …