MedUAG: Unified Understanding and Generation for Medical Multimodal Models
This work develops MedUAG, an end-to-end trained unified medical model that achieves strong performance across a wide array of understanding and generation tasks, establishing a competitive baseline and paving the way for next-generation medical multimodal systems.
Zi-Jie Meng, Yun-Chen Zhang, Hualiang Wang et al.
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