Artificial Intelligence Opportunities for Vestibular Schwannoma Management Using Image Segmentation and Clinical Decision Tools.

Abstract

Authors

• Jonathan Shapey
  School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
• Aaron Kujawa
  School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
• Reuben Dorent
  School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
• Shakeel R Saeed
  Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom; The Ear Institute, University College London, London, United Kingdom; Department of Otolaryngology, The Royal National Throat, Nose, and Ear Hospital, London, United Kingdom.
• Neil Kitchen
  Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, UCLH Foundation Trust, London, UK.
• Rupert Obholzer
  Department of Neurosurgery, King's College Hospital, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom; Department of Otolaryngology, Guy's and St. Thomas' Hospital, London, United Kingdom.
• Sébastien Ourselin
  Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.
• Tom Vercauteren
  Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.
• Nick W M Thomas
  Department of Neurosurgery, King's College Hospital, London, United Kingdom.

Keywords

External Resources