MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation
This work presents MedPixel, a unified medical pixel-language model built around a shared language--mask interface that achieves strong performance in both pixel-level prediction and response generation, together with effective zero-shot transfer to external grounding benchmarks and robustness to imperfect spatial prompts.