A medical reasoning segmentation model built from a multimodal LLM and a SAM-style mask decoder, trained on a newly generated 10,000-pair medical QA-mask dataset.
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MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models
A medical reasoning segmentation model built from a multimodal LLM and a SAM-style mask decoder, trained on a newly generated 10,000-pair medical QA-mask dataset.