Chest X-Ray Pneumonia Detection Model

This model classifies chest X-rays as either normal or showing signs of pneumonia.

Model Description

This deep learning model was trained on the Chest X-Ray dataset to differentiate between normal lungs and those affected by pneumonia. It uses transfer learning with a pre-trained network to achieve high accuracy.

Intended Use

This model is for research and educational purposes only. It should not be used for clinical diagnosis or medical decision-making without proper clinical validation.

Usage

import tensorflow as tf
from preprocessing import preprocess_image

# Load the model
model = tf.keras.models.load_model("model.keras")

# Preprocess an image
img = preprocess_image("path/to/chest_xray.jpg")

# Make prediction
prediction = model.predict(img)
probability = prediction[0][0]

# Interpret results
if probability > 0.5:
    result = "PNEUMONIA"
    confidence = probability
else:
    result = "NORMAL"
    confidence = 1 - probability

print(f"Prediction: {result} with {confidence:.2%} confidence")

Limitations

This model should not be used as a substitute for professional medical diagnosis
Performance may vary across different patient demographics and equipment
The model was trained on a specific dataset which may not represent all clinical scenarios