AI RESEARCH
Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Tasks
arXiv CS.CV
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ArXi:2604.02748v1 Announce Type: new LLMs have nstrated remarkable capabilities in linguistic reasoning and are increasingly adept at vision-language tasks. The integration of image tokens into transformers has enabled direct visual input and output, advancing research from image-to-text descriptions to text-to-image generation. However, simple text-to-image generation holds limited clinical utility. In medical imaging, tasks such as image segmentation for localizing pathologies or image translation for reconstructing missing sequences have much greater clinical importance.