Yin Wen

CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation

Prior knowledge of category structure is essential in medical image segmentation, especially with significant organ structure differences. However, current hybrid architectures primarily focus on enhancing pixel-level representation learning, often neglecting or weakening the key prior knowledge of