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

Luca Maria SconfienzaTito BassaniGloria CasaroliSalvatore GittoEdoardo ZanchettaFrancesco CostaLuca Maria Sconfienza
Published in: European radiology experimental (2018)
Conditional generative adversarial networks are able to generate perceptually convincing synthetic images of the spine in super-resolution and image-to-image translation tasks. Taking into account the limitations of the study, deep learning-based generative methods showed the potential to be an upcoming innovation in musculoskeletal radiology.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • high resolution
  • working memory
  • photodynamic therapy
  • human health
  • fluorescence imaging