Artificial intelligence and radiomics in nuclear medicine: potentials and challenges
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine,Radiology, Nuclear Medicine and imaging,General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s00259-019-04593-0.pdf
Reference24 articles.
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3. Jordan MI, Mitchell TM. Machine learning: trends, perspectives, and prospects. Science. 2015;349:255–60.
4. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436–44.
5. Martín Noguerol T, Paulano-Godino F, Martín-Valdivia MT, Menias CO, Luna A. Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology. J Am Coll Radiol. 2019;16:1239–47.
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