IQuestLab/UniReason-Med-Data

UniReason-Med Data Training data release for the UniReason-Med medical reasoning artifact. Paper Overview The associated paper presents UniReason-Med, a medical multimodal reasoning framework for 2D and 3D medical image understanding. The work focuses on training vision-language models to perform interleaved image-text reasoning with region grounding, where the model can identify image regions with bounding-box tokens, inspect the corresponding crop, and continue… See the full description on the dataset page: https://huggingface.co/datasets/IQuestLab/UniReason-Med-Data.

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