The students of Dr. Enger’s lab at the McGill Medical Physics Unit and the Lady Davis institute are offering a free, beginner-friendly workshop on how to use Python for deep learning-based medical image analysis. This is an amazing opportunity for you to learn about active fields of research from experts in the field and fellow students with research experience.
Our interactive workshop will teach you the fundamentals of medical image analysis, covering multiple imaging modalities including histopathology, CT, and MRI. You will learn how to use some of the most popular deep learning architectures, such as U-Net for tasks like automatic segmentation of organs or diseases.
At the end of this workshop you will have the necessary skills to kickstart a research project in deep learning-medical image analysis. What better way to put your skills to the test than a friendly challenge? At the end of our workshop series, we will be hosting a McMedHacks hackathon, where you can collaborate with your peers, medical professionals, and AI experts in the field to complete a medical research themed image analysis challenge of your choosing. No matter if you are getting your hands dirty for the first time or would just like to get an edge for your research, our workshop has something for you.