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tuberculosis-cnn-model
sukhmani1303/tuberculosis-cnn-model
tuberculosis-cnn-model is a machine learning model from sukhmani1303. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains a CNN model for classifying chest X-ray images as Normal or Tuberculosis.
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Updated May 25, 2025
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At a glance
- Access
- Public
- Created
- May 25, 2025
- Updated
- May 25, 2025
- SHA
- 0e19b104
Model card
From the Hugging Face model README
Tuberculosis CNN Model
This repository contains a CNN model for classifying chest X-ray images as Normal or Tuberculosis.
Dataset
- Source: TB Chest Radiography Database
- Input: 256x256 grayscale images
- Classes: Normal, Tuberculosis
- Accuracy: ~93%
Usage
from handler import TBClassifier
import cv2
classifier = TBClassifier()
image = cv2.imread("path/to/xray.jpg")
result = classifier.predict(image)
print(f"Prediction: {result['prediction']}, Confidence: {result['confidence']:.4f}")
Model Details
- Framework: TensorFlow 2.17.0
- Format: SavedModel
- Preprocessing: Grayscale, 256x256, normalized
Medical Disclaimer
For educational use only. Consult healthcare professionals.
Tags
Medical Imaging, Deep Learning, TensorFlow, Tuberculosis
- Created
- May 25, 2025
- Updated
- May 25, 2025