This 4.5 day school will introduce you to the concepts of medical image processing and analysis, including segmentation, registration and feature extraction. Both traditional and machine learning (including deep learning) methods will be covered. Basic theory will be discussed, but the focus will be on implementation and assessment. The program will include both lectures and guided hands-on application of algorithms. The goal of this Summer School is to do, not just sit and listen. Prior programming experience, while useful, is not required.

Before you travel - laptop requirements

IMPORTANT: All participants are required to bring a laptop, power cord and an ethernet connector. Power and an ethernet connection will be provided at every seat. Wifi is not a reliable method to connect in this classroom setting, so bring the appropriate connectors for an ethernet connection or you will not be able to complete the interactive labs. Click here for a list of what you need to install. Also, check your inbox for a May 23 email. You are strongly encouraged to prepare your laptop prior to the school.