Collaborative Research: CISE Crosscutting Small: SCH: Towards Auto-Prompt Textual Annotations Generation with Domain Knowledge for Multimodal Medical Image Segmentation

Medical image segmentation is essential for clinical decision making and disease monitoring, yet current deep-learning approaches are limited by their reliance on imaging data alone and lack of contextual understanding. Vision-language models (VLMs) offer a promising alternative by generating textual annotations, but their dependence on manually…