medvqa

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Here are 4 public repositories matching this topic...

aioz-ai / MICCAI19-MedVQA

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AIOZ AI - Overcoming Data Limitation in Medical Visual Question Answering (MICCAI 2019)

ai deep-learning medical vqa medical-image-processing miccai visual-question-answering aioz aioz-ai medvqa

Updated Apr 21, 2026
Python

genmilab / MedMO

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MedMO: Medical Foundation Model

medical-imaging vlm multimodal medicalai grounding report-generation medvqa llm medical-report-generation medqa medical-foundation-model qwen3vl medical-grounding medmo medmo-next

Updated Apr 8, 2026
Python

chenxi-001-666 / Generative_VLM

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Generative Rationale-VLM generates transparent 6-step medical reasoning chains. With 84.7% PathVQA accuracy (vs 76.3% baseline), it reduces physician decision time by 27% and improves diagnostic accuracy by 13.8%. Features include hallucination correction, knowledge distillation, and zero-shot generalization.

machine-learning-algorithms medical-imaging interpretable-machine-learning medvqa glass-box-ai