README.md

metadata

title: Chest X-Ray Zero-Shot Classifier
emoji: 🩻
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.47.2
app_file: src/app.py
pinned: false
license: mit

Chest X-Ray Zero-Shot Classifier

This application uses the Google CXR Foundation model to perform zero-shot classification of Chest X-Rays for Pneumothorax.

Detection Logic

• Model: google/cxr-foundation (ELIXR-C Image Encoder + QFormer)
• Method: Zero-Shot Classification comparing image embeddings to text embeddings ("small pneumothorax" vs "no pneumothorax").
• Binary Threshold: -0.1173 (Calibrated on a local Kaggle Pneumothorax dataset using Youden's J statistic).

Performance

• Local Kaggle Dataset AUC: 0.8804

How to use

1. Upload a valid Chest X-Ray (PNG, JPG, or DICOM).
2. Click "Analyze Image".
3. View the prediction and confidence score.