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# π₯ PathGenIC: Histopathology Image Report Generation with Multimodal In-Context Learning
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**PathGenIC** is a multimodal in-context learning framework designed for **automatic medical report generation from histopathology images**. It enhances traditional vision-language models by integrating:
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- **Nearest Neighbor**: Dynamically retrieves similar cases for context.
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- **Guideline**: Follows structured diagnostic rules for consistency.
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- **Feedback**: Learns from mistakes to refine report generation.
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We fine-tuned Quilt-Llava-v1.5-7b on **HistGen** Dataset, and achieves **state-of-the-art** performance with PathGenIC in BLEU, METEOR, and ROUGE-L scores.
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π **[GitHub Repository](https://github.com/casperliuliuliu/PathGenIC)** | π **MIDL 2025 (Under Review)**
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π Download the pretrained model and put it at the model_weight folder.
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