Modern healthcare offers a vast variety of complementary medical imaging data: from x-rays, CT scans, MRI, to name a few. But with an increasing amount of data, comes an increase in workload for specialists who must interpret, compare, and analyse this information as quickly as possible, without compromising on accuracy. To support doctors and to facilitate the workflow, computer assistance has become common practice for medical procedures. At the same time, there has been tremendous progress in the field of artificial intelligence (AI) and, in particular, deep learning. These techniques have shown huge potential for addressing the challenges faced in medical imaging processing and, as a result, innovative methods and applications based on this technology have already been developed and adopted worldwide.
This webinar introduces you to deep learning in the field of medical imaging and will explore how to implement the best practices from computer science in the medical field.
- Introduction to deep learning and what distinguishes it from traditional AI.
- The key challenges, requirements and opportunities to leverage this technology.
- How to get started and an overview of solutions to address your needs.