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


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 Deep Learning: Principles, Achievements and Future Potential in Medical Imaging
Berkman Sahiner, PhD US Food and Drug Administration
berkman.sahiner@fda.hhs.gov


Handout(s): 127-35326-418554-126897.pdf
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All videos in this session:
Watching →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
The Impact of Deep Learning On Radiology - Ronald Summers, PhD NIH Clinical Center
Q & A -
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