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
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- Python
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medvqa
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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.
- Updated
- Python
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