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2017 GTC Washington DC

DC7130 - The Impact of Deep Learning on Radiology - 2017 Update

Session Speakers
  • Ronald Summers - Senior Investigator, NIH Clinical Center

    Ronald M. Summers joined the Diagnostic Radiology Department at the NIH Clinical Center in 1994 in Bethesda, Maryland, where he is now a tenured senior investigator and staff radiologist. Ronald is also chief of the Clinical Image Processing Service and directs the Imaging Biomarkers and Computer-Aided Diagnosis (CAD) Laboratory. In 2013, he was named a fellow of the Society of Abdominal Radiologists. In 2012, he received the NIH Director's Award. In 2000, he received the Presidential Early Career Award for Scientists and Engineers, presented by Dr. Neal Lane, President Clinton's science advisor. Ronald received a Bachelor of Arts in physics and an M.D. and Ph.D. in medicine/anatomy and cell biology from the University of Pennsylvania. He completed a medical internship at the Presbyterian-University of Pennsylvania Hospital, Philadelphia, Pennsylvania, a radiology residency at the University of Michigan, Ann Arbor, Michigan, and an MRI fellowship at Duke University, Durham, North Carolina.

Session Description

Major advances in computer science are beginning to have an impact on radiology. The rapid achievements in performance for object detection in natural images have enabled these impacts. There has been an explosion of research interest and number of publications regarding the use of deep learning in radiology. We'll show examples of how deep learning has led to major performance improvements in radiology image analysis, including image segmentation and computer-aided diagnosis.


Additional Information
Intermediate
AI in Healthcare
Healthcare & Life Sciences
Talk
25 minutes
Session Schedule