Deep learning in medical imaging
Deep learning has emerged as a powerful tool for analysing medical images, setting a new state-of-the-art for challenging tasks such as semantic segmentation of anatomical and pathological structures. This talk will provide an overview of research from the BioMedIA group on the use of deep learning in various applications including analysis of brain, cardiac and whole-body imaging in the clinical context of trauma, cancer and population health. We will discuss most recent successes, remaining challenges and opportunities for future research.
Ben Glocker is Senior Lecturer in Medical Image Computing. He holds a PhD from TU Munich, and was a post-doc at Microsoft Research and a Research Fellow at the University of Cambridge. He is a member of the BioMedIA group at the Department of Computing, and his research is in the area of biomedical imaging and medical computer vision with a focus on applying machine learning and artificial intelligence to automate image analysis. His aim is to build a machine capable of interpreting medical scans with super-human performance.