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A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.

Loredana StorelliElisabetta PaganiMaria Assunta RoccaMark A HorsfieldAntonio GalloAlvino BiseccoMarco BattagliniNicola De StefanoHugo VrenkenDavid L ThomasLaura ManciniStefan RopeleChristian EnzingerPaolo PreziosaMassimo Filippi
Published in: AJNR. American journal of neuroradiology (2016)
The method proved to be robust, and no center-specific training of the algorithm was required, offering the possibility for application in a clinical setting. Adoption of the method should lead to improved reliability and less operator time required for image analysis in research and clinical trials in MS.
Keyphrases
  • multiple sclerosis
  • clinical trial
  • deep learning
  • ms ms
  • convolutional neural network
  • magnetic resonance imaging
  • cross sectional
  • electronic health record
  • diffusion weighted imaging