Introduction to Transformers and Self-Supervised learning for Medical Image Analysis

The rapid advancement of artificial intelligence (AI) has significantly transformed the landscape of medical image analysis, recently through the integration of Transformers and self-supervised learning techniques. This lecture series, "Introduction to Transformers and Self-Supervised Learning for Medical Image Analysis," aims to provide an overview of these approaches and their applications in the medical image analysis domain.
Through case studies and practical examples, attendees will gain insights into the implementation of these techniques in real-world medical scenarios, and how they differ from general purpose Machine learning methods. This lecture series will be composed of 2 lectures and one hands-on laboratory, so remember to take your laptop with you.