Embracing intra-class heterogeneity for semi-supervised medical image segmentation: From diversity to precision
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Due to the scarcity of expert-annotated data, Semi-Supervised Medical Image Segmentation (SSMIS) has emerged as a promising approach. Many anatomical structures in medical images exhibit significant intra-class heterogeneity, with different regions showing het... ...