File size: 702 Bytes
7a0dc05
15ed6f6
 
 
 
7a0dc05
d596b2e
7760fbf
7a0dc05
 
 
15ed6f6
7a0dc05
 
15ed6f6
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
---
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.