AAPM VL-Deep Learning and Applications in Medical Imaging

2017 AAPM Annual Meeting - Session: Deep Learning and Applications in Medical Imaging

The Impact of Deep Learning On Radiology
Ronald Summers, PhD NIH Clinical Center
rms@nih.gov

Handout(s):

When you have finished the video, you may watch again, browse/search all videos, go back to the previous page, or watch another video in this session (see below). add this video to a playlist.

All videos in this session:

	Deep Learning: Principles, Achievements and Future Potential in Medical Imaging - Berkman Sahiner, PhD US Food and Drug Administration
	Can Deep Learning Help in Cancer Diagnosis and Treatment? - Lubomir Hadjiiski, PhD University of Michigan
	Role of Deep Learning at Various Stages of Quantitative Image Analysis for Disease Assessment - Maryellen Giger, PhD University Chicago
	Q & A -

Graph includes 196 member loads and excludes non-members. Include? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.

AAPM is the American Association of Physicists in Medicine.
1631 Prince Street
Alexandria, VA 22314
Phone 571-298-1300
Fax 571-298-1301 
Send general questions to 2022.aapm@aapm.org

AAPM's Privacy Policy
Use of the site constitutes your acceptance to its terms and conditions.

AAPM is a scientific, educational, and professional nonprofit organization devoted to the discipline of physics in medicine. The information provided in this website is offered for the benefit of its members and the general public, however, AAPM does not independently verify or substantiate the information provided on other websites that may be linked to this site.

AAPM Virtual Library

2017 AAPM Annual Meeting - Session: Deep Learning and Applications in Medical Imaging