Multispectral Imaging for Automated Tissue Identification of Normal Human Surgical Specimens.

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Published Date: Aug 25, 2020

Abstract

OBJECTIVE: Safe surgery requires the accurate discrimination of tissue intraoperatively. We assess the feasibility of using multispectral imaging and deep learning to enhance surgical vision by automated identification of normal human head and neck tissues.

Authors

  • Jared A Shenson
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, California, USA.
  • George S Liu
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA. gliu51@jh.edu.
  • Joyce Farrell
    Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Nikolas H Blevins
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA.

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