Implicit Fuzzification via Bounded Noise Injection for Robust Medical Image Segmentation 事件

Implicit Fuzzification via Bounded Noise Injection for Robust Medical Image Segmentation arXiv:2606.04427v1 Announce Type: new Abstract: Image segmentation remains fundamentally limited by boundary ambiguity arising from sampling-induced information loss and inherent uncertainty in pixel-wise labeling. Although encoder-decoder architectures such as U-Net achieve strong performance, they often produce overconfident predictions that fail to capture transition-region ambiguity. To address this iss