Y. Li

Fuzzy Adaptive Loss Based on Quality and Region Weighting for Medical Image Segmentation

Abstract In medical image segmentation, models are often trained on data influenced by uncertainty, including poor image quality, unclear anatomical structures, and inconsistent annotations. These issues frequently lead to unstable optimization and biased predictions. We addresse...