A Web-Based Deep Learning Model for Automated Diagnosis of Otoscopic Images.

Journal: Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
Published Date: Oct 1, 2021

Abstract

OBJECTIVES: To develop a multiclass-classifier deep learning model and website for distinguishing tympanic membrane (TM) pathologies based on otoscopic images.

Authors

  • Kotaro Tsutsumi
    Pathology Informatics Team, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan. ktsutsum@hs.uci.edu.
  • Khodayar Goshtasbi
    Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, California, USA.
  • Adwight Risbud
    Department of Otolaryngology-Head and Neck Surgery.
  • Pooya Khosravi
    Department of Otolaryngology-Head and Neck Surgery.
  • Jonathan C Pang
    Department of Otolaryngology-Head and Neck Surgery.
  • Harrison W Lin
    Department of Otolaryngology-Head and Neck Surgery.
  • Hamid R Djalilian
    Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, California, USA.
  • Mehdi Abouzari
    Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, California, USA.

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