Exercises

Throughout the MIA Lab, you'll complete several practical exercises to build your skills and prepare for the main project.

Exercise 1: Image Basics

Due: Week 3

Learn the fundamentals of working with medical images:

• Reading and writing medical image files
• Understanding image properties (dimensions, spacing, origin)
• Basic image manipulation and visualization
• Working with SimpleITK

View detailed instructions on GitBook

Exercise 2: Pipeline

Due: Week 4

Implement key components of the image processing pipeline:

• Pre-processing steps
• Registration between images
• Post-processing operations
• Integrating components into a workflow

View detailed instructions on GitBook

Exercise 3: Random Forest

Due: Week 5

Apply machine learning to medical image analysis:

• Feature extraction from images
• Training a Random Forest classifier
• Making predictions on new data
• Evaluating classifier performance

View detailed instructions on GitBook

How to Submit

Submit your exercises according to the instructions provided during the course. These exercises are designed to:

1. Build practical skills with medical imaging tools
2. Prepare you for the main project
3. Give you hands-on experience with each pipeline component

Getting Help

If you encounter issues with the exercises:

• Consult the course documentation
• Reach out during office hours
• Contact the teaching assistants via email
• Collaborate with your classmates

Remember: These exercises are learning opportunities. Don't hesitate to ask questions!