README.md

metadata

title: Tuberculosis CNN Inference
emoji: 🩺
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.36.1
app_file: app.py
pinned: false
short_description: Classify chest X-ray images as Normal or Tuberculosis
tags:
  - medical-imaging
  - tuberculosis-detection
  - tensorflow
  - gradio

🩺 Tuberculosis Detection CNN

Classify chest X-ray images as Normal or Tuberculosis using a CNN trained on the TB Chest Radiography Database.

How to Use

1. Upload a chest X-ray image (JPEG/PNG).
2. Click "Submit".
3. View the prediction and confidence score.

Performance

• Test Accuracy: ~93%
• Dataset: TB Chest Radiography Database
• Model: CNN with TensorFlow/Keras
• Input: 256x256 grayscale images
• Classes: Normal, Tuberculosis

Technical Details

• Framework: TensorFlow 2.17.0
• Format: SavedModel
• Preprocessing: Grayscale, resized to 256x256, normalized to [0,1]
• Output: Binary classification (Normal or Tuberculosis)

Medical Disclaimer

This model is for educational purposes only. Always consult healthcare professionals for medical diagnosis.

Tags

Medical Imaging, Deep Learning, Healthcare AI, Tuberculosis