Building a X-Ray Image Classifier
Deep Learning for Pneumonia Detection
Created by DataLab, Bernd Schrooten
Explore how deep learning can help diagnose pneumonia by building an AI model that classifies chest X-ray images. You'll work hands-on with real medical data, learning to preprocess images, train a neural network, and evaluate its performance for reliable results.
DataLab | Mar 2025 | 40 min
What You Will Learn
You'll follow a practical, step-by-step process to load and prepare X-ray images, construct a neural network, and train it to spot signs of pneumonia. Along the way, you'll use real datasets and proven techniques to measure your model's performance, gaining experience with tools used in medical AI.
Key Features
- Preprocess and split chest X-ray data for effective deep learning workflows
- Build and train a convolutional neural network using PyTorch
- Evaluate model accuracy and F1 score to ensure reliable predictions
Target Audience
If you have a basic understanding of Python and neural networks and want to apply your skills to healthcare, this project is for you. It's ideal for data enthusiasts, aspiring machine learning engineers, or anyone interested in using AI to solve real-world medical challenges.
