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shan1984
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Model Details
Model Provider
shan1984
Model Tree
Qwen/Qwen3-VL-8B-Thinking
Input Modalities
Output Modalities
Supported Functionality
PancCADx is an interpretable multimodal framework for pancreatic cancer diagnosis via endoscopic ultrasound (EUS). This adapter was trained using a two-stage alignment strategy:
python
from transformers import Qwen3VLForConditionalGeneration, AutoProcessorfrom peft import PeftModel# Load base modelbase_model = Qwen3VLForConditionalGeneration.from_pretrained("Qwen/Qwen3-VL-8B-Thinking",torch_dtype="auto",device_map="auto")# Load LoRA adaptermodel = PeftModel.from_pretrained(base_model, "shan1984/PancCADx-DPO")processor = AutoProcessor.from_pretrained("shan1984/PancCADx-DPO")
| Metric | Value |
|---|---|
| Sensitivity | 95.74% |
| Specificity | 77.78% |
| Accuracy | 89.53% |
bibtex
@inproceedings{hu2026panccadx,title={PancCADx: A Multimodal Framework for Pancreatic Cancer Diagnosis},author={Hu, Shan and Xiao, Changhong and Qin, Xianzheng and Mei, Bin and Cheng, Bin and Wang, Zhongyuan},booktitle={MICCAI},year={2026}}
Apache 2.0