Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival.

Journal: Acta neurochirurgica
Published Date: Jul 13, 2020

Abstract

BACKGROUND: Measurement of volumetric features is challenging in glioblastoma. We investigate whether volumetric features derived from preoperative MRI using a convolutional neural network-assisted segmentation is correlated with survival.

Authors

  • Yizhou Wan
    Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Level 3 A Block Box 165, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. yw435@cantab.net.
  • Roushanak Rahmat
    Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Level 3 A Block Box 165, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Stephen J Price
    Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Level 3 A Block Box 165, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.

Keywords

External Resources

Popular Topics
Recent Journals