Feiman Sun

Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation

Existing semi-supervised learning methods typically mitigate the impact of unreliable predictions by suppressing low-confidence regions. However, these methods fail to explore which regions hold higher learning value and how to design adaptive learning strategies for these regions. To address these…