Signal to noise ratio quantifies the contribution of spectral channels to classification of human head and neck tissues using deep learning and multispectral imaging.

Journal: Journal of biomedical optics
Published Date: Jan 28, 2023

Abstract

SIGNIFICANCE: Accurate identification of tissues is critical for performing safe surgery. Combining multispectral imaging (MSI) with deep learning is a promising approach to increasing tissue discrimination and classification. Evaluating the contributions of spectral channels to tissue discrimination is important for improving MSI systems.

Authors

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

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