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Deep Learning in Medicine
Recent years have witnessed a dramatic resurgence of interest in applying deep learning in various research and application areas. In this 2 hour session, we will present a broad and high-level overview on what deep-learning technologies can do for the domains of medicine and healthcare. Our discussion will focus on the three major application fields: medical imaging analysis, natural language processing and deep reinforcement learning. In each field, some of the landscape will be sketched by taking a brief literature survey on the current deep-learning-related research. At the same time we will dig into a couple of specific topics via reviewing some recent exciting achievements as illustrating examples for the subject. The talk will be closed with a general discussion about the challenges of deep learning in the medical and healthcare field.
This workshop is for all audiences, which means the presentation is oriented for people with a wide range of backgrounds (e.g. from data scientists to medical professionals) and for both novices and experts.
Please REGISTER in advance for this Zoom Meeting before joining.
After registering, you will receive a confirmation email containing information about joining the meeting.
If you have any further questions regarding the workshop, please contact instructor Qiyang Hu.