Together with the Université de Lyon, the ETS and the Université de Sherbrooke will hold a virtual spring school on Deep learning for medical imaging on April 19-24, 2021.
Given the success of the first edition of this school held in 2019, and the cancellation of the second edition due to Covid-19 in 2020, the organizers have decided to hold a new Covid-proof edition in 2021 completely virtual. Basis of deep learning will be taught as well as complementary aspects compared with the 2019 edition. This training event will cover the main aspects of the critical and fast developing area of deep learning for medical image analysis. We will provide the fundamental principles of machine learning, review the most advanced deep architectures and give insight into the most challenging sub areas of this domain with a special emphasize on the specificities of deep medical image analysis.
The pre-registration is now opened, all information may be found on the web site: https://deepimaging2021.sciencesconf.org/