The one week course will bring participants (1) closer to the use of deep learning and computer vision in tasks related to medical imaging and other medical data, and (2) to high-performance computing to considerably reduce the running times of model-training processes. It includes theoretical sessions (master classes) and lab sessions. The theoretical part discusses topics of Deep Learning, Computer Vision, Medical Imaging and High-performance Computing. The lab sessions show attendants how the software created in the DeepHealth project can be installed and used.

The DeepHealth Winter School will be held from 24th to 28th of January and takes place online. The course is free of charge, so sign up now!