Innovations in imaging modalities and advancements of imaging technologies have improved our ability to diagnose, monitor or treat medical conditions. Recently, automatic registration, segmentation, visualization, classification and quantification of biomarkers have transformed the way we utilise medical images. In this session our speakers will discuss current methodologies and software development in this exciting area.
This is a hybrid event. This regisistration is only for in-person attendance in London, click here if you would like to attend online.
Full event information
14:00 Welcome
14:05 Dr Marc Modat - tbc
14:55 Dr Qianni Zhang - How can AI help in automating medical image assessment?
15:45 Break
15:55 Professor Emanuele Trucco - Automatic retinal image analysis in the AI era: the VAMPIRE project
16:45 Questions and comments
17:00 End
Speakers
Dr Marc Modat (King’s College London)
Professor Emanuele Trucco (University of Dundee)
Dr Qianni Zhang (Queen Mary University of London)
Ruby Chang for RSS Computational Statistics & Machine Learning Section
Event costs
Free for RSS Fellows
£10 for non-Fellows