Current applications and future directions of deep learning in musculoskeletal radiology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Link
http://link.springer.com/content/pdf/10.1007/s00256-019-03284-z.pdf
Reference95 articles.
1. Choy G, Khalilzadeh O, Michalski M, Do S, Samir AE, Pianykh OS, et al. Current applications and future impact of machine learning in radiology. Radiology. 2018;288:318–28.
2. Soffer S, Ben-Cohen A, Shimon O, Amitai MM, Greenspan H, Klang E. Convolutional neural networks for radiologic images: a radiologist’s guide. Radiology. 2019;290:590–606.
3. Chartrand G, Cheng PM, Vorontsov E, Drozdzal M, Turcotte S, Pal CJ, et al. Deep learning: a primer for radiologists. RadioGraphics. 2017;37:2113–31.
4. Kruskal JB, Berkowitz S, Geis JR, Kim W, Nagy P, Dreyer K. Big data and machine learning—strategies for driving this bus: a summary of the 2016 Intersociety Summer Conference. J Am Coll Radiol. 2017;14:811–7.
5. Rosenkrantz AB, Nicola GN, Allen B, Hughes DR, Hirsch JA. MACRA, MIPS, and the new Medicare quality payment program: an update for radiologists. J Am Coll Radiol. 2017;14:316–23.
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