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Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.

Charidimos TsagkasA Horvath-HuckT HaasM AmannA TodeaAnna AltermattJannis MüllerAlessandro CagolM LeimbacherMuhamed BarakovicMatthias WeigelS PezoldTill SprengerLudwig KapposOliver BieriCristina GranzieraPhilippe C CattinKatrin Parmar
Published in: AJNR. American journal of neuroradiology (2023)
We demonstrate a novel, reliable quantification method for spinal cord tissue segmentation in healthy controls and patients with MS and other neurologic disorders affecting the spinal cord. Patients with MS have reduced areas in specific spinal cord tissue compartments, which may be used as MS biomarkers.
Keyphrases
  • spinal cord
  • multiple sclerosis
  • mass spectrometry
  • neuropathic pain
  • spinal cord injury
  • deep learning
  • ms ms
  • convolutional neural network
  • white matter
  • machine learning
  • neural network