Developing a ground truth for a convolutional neural network-based segmentation of anatomical structures in endoscopic ear surgery videos.

Journal: Auris, nasus, larynx
Published Date:

Abstract

OBJECTIVE: This study aimed to develop a ground truth for a convolutional neural network-based segmentation of the stapes, chorda tympani and facial nerve in endoscopic ear surgery videos, and to evaluate the accuracy of artificial intelligence (AI) predictions on test videos.

Authors

  • Mickey Kondo
    Division of Otolaryngology Head and Neck Surgery, Royal North Shore Hospital, Sydney, New South Wales, Australia.
  • Carlo Russo
    Computational NeuroSurgery (CNS) Lab, Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
  • Matthew Fadhil
    Division of Otolaryngology Head and Neck Surgery, Royal North Shore Hospital, Sydney, New South Wales, Australia. Electronic address: mattfadhil97@gmail.com.
  • Ben Hunter
    Division of Otolaryngology Head and Neck Surgery, Royal North Shore Hospital, Sydney, New South Wales, Australia.
  • Leon Chen
    From the Department of Radiology, Stanford University, 300 Pasteur Dr, MC 5105, Stanford, CA 94305 (S.S.H.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, Mass (J.K.C.); Massachusetts General Hospital & Brigham and Women's Hospital Center for Clinical Data Science, Boston, Mass (A.B.M., K.A.); Department of Radiology, University of Toronto, Toronto, Ontario, Canada (A.B.); Department of Radiology, St. Michael's Hospital, Toronto, Ontario, Canada (M.C.); Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI (I.P.); Universidade Federal de Goiás, Goiânia, Brazil (L.A.P., R.T.S.); Universidade Federal de São Paulo, São Paulo, Brazil (N.A., F.C.K.); Visiana, Hørsholm, Denmark (H.H.T.); MD.ai, New York, NY (L.C.); Department of Radiology, Weill Cornell Medicine, New York, NY (G.S.) Department of Radiology, University of California-San Francisco, San Francisco, Calif (M.D.K.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.).
  • Rhea Darbari Kaul
    Rhinology and Skull Base Research Group, Applied Medical Research Centre, University of New South Wales, Sydney, Australia.
  • Priyanka Rana
    School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.
  • Yang Song
    Biomedical and Multimedia Information Technology (BMIT) Research Group, School of IT, University of Sydney, NSW 2006, Australia. Electronic address: yson1723@uni.sydney.edu.au.
  • Nicholas Jufas
    Division of Otolaryngology Head and Neck Surgery, Royal North Shore Hospital, Sydney, New South Wales, Australia; Kolling Deafness Research Centre, Royal North Shore Hospital, Macquarie University and University of Sydney, Sydney, New South Wales, Australia; Department of Otolaryngology - Head and Neck Surgery, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia; Discipline of Surgery, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
  • Antonio Di Ieva
    Neurosurgery Unit, Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
  • Nirmal Patel
    Division of Otolaryngology Head and Neck Surgery, Royal North Shore Hospital, Sydney, New South Wales, Australia; Kolling Deafness Research Centre, Royal North Shore Hospital, Macquarie University and University of Sydney, Sydney, New South Wales, Australia; Department of Otolaryngology - Head and Neck Surgery, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia; Discipline of Surgery, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Keywords

No keywords available for this article.