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Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations
Specifying segmentation targets with natural language provides flexible semantic conditioning for medical image segmentation. However, existing methods still struggle to reliably ground high-level textual semantics into accurate pixel-level spatial prompts, especially under low-contrast lesions, amb
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