MSHA-Net: learning with multiscale hierarchical discriminative attention for few-shot medical segmentation
Few-shot medical image segmentation, which aims to achieve accurate segmentation with limited labeled data, faces challenges including 1) the model’s need for strong generalization ability and 2) simultaneous extraction of global semantics and local boundaries. To address these issues, we propose MSHA-NET, a framework...