Deep Learning for Automated Image Segmentation of the Middle Ear: A Scoping Review.

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
PMID: 38667630

Abstract

OBJECTIVE: Convolutional neural networks (CNNs) have revolutionized medical image segmentation in recent years. This scoping review aimed to carry out a comprehensive review of the literature describing automated image segmentation of the middle ear using CNNs from computed tomography (CT) scans.

Authors

  • Talisa Ross
    Department of Ear, Nose and Throat Surgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
  • Ravina Tanna
    Department of Ear, Nose and Throat Surgery, Great Ormond Street Hospital, London, UK.
  • Watjana Lilaonitkul
    Global Business School for Health, University College London, London, UK.
  • Nishchay Mehta
    evidENT Team, Ear Institute, University College London, London, UK.

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