Optical Biopsy: Automated Classification of Airway Endoscopic Findings Using a Convolutional Neural Network.

Journal: The Laryngoscope
PMID: 32343434

Abstract

OBJECTIVES/HYPOTHESIS: Create an autonomous computational system to classify endoscopy findings.

Authors

  • Michael E Dunham
    Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana, U.S.A.
  • Keonho A Kong
    Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana, U.S.A.
  • Andrew J McWhorter
    Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana, U.S.A.
  • Lacey K Adkins
    Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana, U.S.A.

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