Biomedical Image and Genetic Data Analysis with machine learning; applications in neurology and oncology
Erasmus MC
Abstract
In this presentation I will show the opportunities and challenges of big data analytics with AI techniques in medical imaging, also in combination with genetic and clinical data. Both conventional machine learning techniques, such as radiomics for tumor characterization, and deep learning techniques for studying brain ageing and prognosis in dementia, will be addressed. Also the concept of deep imaging, a full integration of medical imaging and machine learning, will be discussed. Finally, I will address the challenges of how to successfully integrate these technologies in daily clinical workflow.
Topics
Keep track of Medical Imaging
Remember this field on this device and see what changed when you return. Your saved items stay in your library.
The calendar subscription updates upcoming seminars automatically. Add the feed by URL in your calendar; a one-off import will not update. Attendance conditions remain those of the organiser.
Related Seminars
Learning the Regulatory Code with AI
More on deep learning
On finding what you’re (not) looking for: prospects and challenges for AI-driven discovery
More on machine learning
Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality
More on machine learning