From noisy labels to intrinsic structure: A geometric-structural dual-guided framework for noise-robust medical image segmentation
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The effectiveness of convolutional neural networks in medical image segmentation relies on large-scale, high-quality annotations, which are costly and time-consuming to obtain. Even expert-labeled datasets inevitably contain noise arising from subjectivity and... ...
