Yishan Zhang

Symmetry and Fusion Data Augmentation for Semi-Supervised Medical Segmentation

In semi-supervised medical image segmentation, appropriately merging labeled and unlabeled data before network training instead of using them separately can effectively reduce knowledge loss, mitigate distribution discrepancies and promote efficient knowledge transfer to unlabeled data. However, exi…