Chengcan Qian

Simple-ViLMedSAM: Simple Text Prompts Meet Vision-Language Models for Medical Image Segmentation

Medical image segmentation is challenging due to limited annotated data, high labeling costs, and substantial image heterogeneity. Although large-scale vision foundation models (e.g., SAM) have shown great potential in this field, existing SAM-based methods typically rely on expert-defined geometric