🏥 PathGenIC: Histopathology Image Report Generation with Multimodal In-Context Learning
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:
- Nearest Neighbor: Dynamically retrieves similar cases for context.
- Guideline: Follows structured diagnostic rules for consistency.
- Feedback: Learns from mistakes to refine report generation.
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.
🔗 GitHub Repository | 📄 MIDL 2025 (Under Review)
👉 Download the pretrained model and put it at the model_weight folder.
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wisdomik/Quilt-Llava-v1.5-7b