IEEE–OC EMBS Chapter Presents “Advances in Deep Learning for Medical Imaging”

Despite the growing popularity of deep learning neural networks for various medical imaging applications, the vast majority of algorithms to date represent early proof-of-concept designs that will require a degree of evolution before achieving practical clinical utility. In this talk, we explore several different ways in which the current generation of deep learning applications can be advanced including:

(1) Reformulating the question: in medicine, there are often times more than one way to ask the same question—how do we reformulate a task in a way that both maximizes clinical utility and also best leverages the strength of various deep learning algorithms?

(2) Customizing deep learning algorithms: what are the unique technical challenges posed by medical imaging data and how we design custom deep learning architectures to account for them?

(3) Clinical implementation: what are some practical experiences learned from implementing deep learning tools in the clinical setting, and what are some regulatory hurdles that will need to be considered?

Speaker(s): Peter D. Chang, MD,

Agenda:

6:30pm – 7pm (Networking and Food)

7pm – 8pm (Talk)

Location:
Room: Community Meeting Room
15500 Sand Canyon Ave
Irvine, California
92618