2 papers
cs.CV2026
Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations
Jie Gui, Hang Tu, Yunfeng Dou +3
Specifying segmentation targets with natural language provides flexible semantic conditioning for medical image segmentation. However, existing methods still struggle to reliably g…
cs.CV2026
Embracing Intra-Class Heterogeneity for Semi-Supervised Medical Image Segmentation: From Diversity to Precision
Yuqi Liu, Yufei Chen, Wei Fu +2
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 e…