AI-Powered Chest X-Ray Analysis
Instantly detect signs of pneumonia with our state-of-the-art deep learning model. Upload an image to begin.
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Model Prediction
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Model Test Accuracy
**Disclaimer:** This tool is for educational purposes only and is not a substitute for professional medical advice.
Understanding Pneumonia
What is Pneumonia?
Pneumonia is an infection that inflames the air sacs (alveoli) in one or both lungs. These sacs may fill with fluid or pus, leading to symptoms like coughing, fever, and difficulty breathing. It can be caused by bacteria, viruses, or fungi.
Common Symptoms
- Cough, which may produce phlegm
- Fever, sweating, and shaking chills
- Shortness of breath
- Chest pain when you breathe or cough
- Fatigue and loss of appetite
Diagnosis with X-Rays
Chest X-rays are a key diagnostic tool. They can reveal the location and extent of the infection in the lungs. On an X-ray, pneumonia typically appears as a white patch (an infiltrate), which our AI model is trained to detect.
About The AI Model
Model Architecture
This detection model utilizes a custom Convolutional Neural Network (CNN), optimized specifically for medical image classification and built entirely from scratch.
- Built a custom CNN from scratch with optimized layers for feature extraction in X-Rays.
- Integrated Early Stopping and learning rate schedulers to ensure efficient model convergence.
- An output layer that provides a highly accurate classification of either "NORMAL" or "PNEUMONIA".
Training & Dataset
The model was trained on the publicly available "Chest X-Ray Images (Pneumonia)" dataset from Kaggle. This dataset contains thousands of pre-labeled chest X-ray images, providing a robust foundation for training the AI.
Through rigorous training, tuning, and validation, the model achieved a state-of-the-art test accuracy of 97.86%, validating its robust production readiness.