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Improved Automatic Morphology-Based Classification of Parkinson's Disease and Progressive Supranuclear Palsy.

Aron S TalaiZahinoor IsmailJan SedlacikKai BoelmansNils Daniel Forkert
Published in: Clinical neuroradiology (2018)
The results of this study suggest that clinical features as well as more advanced morphological features should be used for future computer-aided diagnosis systems to differentiate PD and PSP-RS patients based on morphological parameters.
Keyphrases
  • end stage renal disease
  • deep learning
  • machine learning
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • patient reported outcomes
  • current status
  • neural network