Interventional Radiology ex-machina: impact of Artificial Intelligence on practice
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11547-021-01351-x.pdf
Reference60 articles.
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3. Chartrand G, Cheng PM, Vorontsov E et al (2017) Deep learning: A primer for radiologists. Radiographics 37:2113–2131. https://doi.org/10.1148/rg.2017170077
4. Aerts HJWL (2016) The potential of radiomic-based phenotyping in precisionmedicine a review. JAMA Oncol 2:1636–1642
5. Kumar V, Gu Y, Basu S et al (2013) NIH Public Access 30:1234–1248. https://doi.org/10.1016/j.mri.2012.06.010.QIN
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