Artificial Intelligence #medical image segmentation#knowledge-guided
K-Prism Model Unifies Medical Image Segmentation with Knowledge-Guided Prompt Integration
Researchers present K-Prism, a unified segmentation framework that integrates three knowledge paradigms—semantic priors, in-context examples, and interactive feedback—via a dual-prompt representation and Mixture-of-Experts decoder. Tested on 18 public datasets spanning multiple modalities, K-Prism achieves state-of-the-art performance across semantic, in-context, and interactive segmentation tasks.
Jun 16, 2026 1 source