Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging

Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging

Abstract Background Deep learning is a ground-breaking technology that is revolutionising many research and industrial fields. Generative models are recently gaining interest. Here, we investigate their potential, namely conditional generative adversarial networks, in the field of magnetic resonance...

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Bibliographic Details
Main Authors: Fabio Galbusera, Tito Bassani, Gloria Casaroli, Salvatore Gitto, Edoardo Zanchetta, Francesco Costa, Luca Maria Sconfienza
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:European Radiology Experimental
Subjects:
Lumbar vertebrae
Machine learning (deep learning)
Magnetic resonance imaging
Neural network (computer)
X-rays
Online Access:http://link.springer.com/article/10.1186/s41747-018-0060-7

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http://link.springer.com/article/10.1186/s41747-018-0060-7

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