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| title: OED Diagnosis (PLIP) | |
| emoji: 🔬 | |
| colorFrom: purple | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 5.0.1 | |
| python_version: "3.11" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Zero-shot diagnosis of oral epithelial dysplasia using PLIP | |
| # OED Diagnosis App | |
| Zero-shot classification of oral epithelial dysplasia (OED) grades from H&E histology | |
| images using the [PLIP](https://huggingface.co/vinid/plip) vision–language foundation | |
| model (Huang et al., *Nature Medicine* 2023). | |
| **Workflow:** Upload image → (optional) add clinical data → press button → get diagnosis | |
| with confidence scores for each class. | |
| For research and education only. Not a clinical diagnostic tool. | |