Development and validation of a two-stage convolutional neural network algorithm for segmentation of MRI white matter hyperintensities for longitudinal studies in CADASIL.

Journal: Computers in biology and medicine
PMID: 39106675

Abstract

BACKGROUND: Segmentation of white matter hyperintensities (WMH) in CADASIL, one of the most severe cerebral small vessel disease of genetic origin, is challenging.

Authors

  • Valentin Demeusy
    Medpace, Core Laboratory, 60-77 rue de la Villette, 69003, Lyon, France.
  • Florent Roche
    Medpace, Core Laboratory, 60-77 rue de la Villette, 69003, Lyon, France.
  • Fabrice Vincent
    Medpace, Core Laboratory, 60-77 rue de la Villette, 69003, Lyon, France.
  • May Taha
    Medpace, Biostatistics, 60-77 rue de la Villette, 69003, Lyon, France.
  • Ruiting Zhang
    Université Paris Cité, Inserm, NeuroDiderot, F-75019, Paris, France; Department of Radiology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
  • Eric Jouvent
    Université Paris Cité, Inserm, NeuroDiderot, F-75019, Paris, France; Department of Neurology, Hôpital Lariboisiere, APHP, Paris, France; FHU NeuroVasc, Paris, France.
  • Hugues Chabriat
    Université Paris Cité, Inserm, NeuroDiderot, F-75019, Paris, France; Department of Neurology, Hôpital Lariboisiere, APHP, Paris, France; Centre de référence CERVCO - Centre Neurovasculaire Translationnel, Hôpital Lariboisiere, APHP, Paris, France; FHU NeuroVasc, Paris, France. Electronic address: hugues.chabriat@aphp.fr.
  • Jessica Lebenberg
    Université Paris Cité, Inserm, NeuroDiderot, F-75019, Paris, France; Centre de référence CERVCO - Centre Neurovasculaire Translationnel, Hôpital Lariboisiere, APHP, Paris, France; FHU NeuroVasc, Paris, France.

Keywords

External Resources

Popular Topics
Recent Journals