When Machines Think: Radiology’s Next Frontier
Author:
Affiliation:
1. From the Department of Radiology, Massachusetts General Hospital, Center for Clinical Data Science, Partners Healthcare, Boston, Mass (K.J.D.); and Department of Radiology, University of Colorado School of Medicine, Aurora, Colo (J.R.G.).
Publisher
Radiological Society of North America (RSNA)
Subject
Radiology, Nuclear Medicine and imaging
Link
http://pubs.rsna.org/doi/pdf/10.1148/radiol.2017171183
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1. Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
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