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Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture

Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture

Category
Academic article
Language
English
Author(s)
  • David Nicolas Jean-Marie Bouget
  • André Pedersen
  • Sayied Abdol Mohieb Hosainey
  • Johanna Vanel
  • Ole Solheim
  • Ingerid Reinertsen
Affiliation
  • SINTEF Digital
  • North Bristol NHS Trust
  • Norwegian University of Science and Technology
  • St. Olavs Hospital, Trondheim University Hospital
Date
26.03.2021
Year
Published in
Journal of Medical Imaging
ISSN
2329-4302
Publisher
SPIE - The International Society for Optics and Photonics
Volume
8
Issue
2
Page(s)
1 - 16