Deep Learning Method for Rapid Simultaneous Multistructure Temporal Bone Segmentation.

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
PMID: 38769857

Abstract

OBJECTIVE: To develop and validate a deep learning algorithm for the automated segmentation of key temporal bone structures from clinical computed tomography (CT) data sets.

Authors

  • Caio A Neves
    Faculty of Medicine, University of Brasilia, Brasília, Brazil.
  • Trishia El Chemaly
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, California, USA.
  • Fanrui Fu
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, California, USA.
  • Nikolas H Blevins
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA.

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