AINeutralarXiv – CS AI · 3h ago6/10
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Not All Pixels Are Equal: Pixel-wise Meta-Learning for Medical Segmentation with Noisy Labels
Researchers introduce MetaDCSeg, a machine learning framework that addresses noisy labels in medical image segmentation by applying pixel-wise weighting rather than global approaches. The method uses Dynamic Center Distance mechanisms to focus computational attention on anatomically ambiguous boundary regions, demonstrating superior performance across multiple medical imaging datasets.