Semi-Supervised Deep Learning Semantic Segmentation for 3D Volumetric Computed Tomographic Scoring of Chronic Rhinosinusitis: Clinical Correlations and Comparison with Lund-Mackay Scoring.

Journal: Tomography (Ann Arbor, Mich.)
Published Date:

Abstract

BACKGROUND: The traditional Lund-Mackay score (TLMs) is unable to subgrade the volume of inflammatory disease. We aimed to propose an effective modification and calculated the volume-based modified LM score (VMLMs), which should correlate more strongly with clinical symptoms than the TLMs.

Authors

  • Chung-Feng Jeffrey Kuo
    Department of Materials Science & Engineering, National Taiwan University of Science and Technology, Taipei 114, Taiwan, jeffreykuo@mail.ntust.edu.tw (C.-F.J.K.).
  • Yu-Shu Liao
    Department of Materials Science & Engineering, National Taiwan University of Science and Technology, Taipei 114, Taiwan, jeffreykuo@mail.ntust.edu.tw (C.-F.J.K.).
  • Jagadish Barman
    Department of Materials Science & Engineering, National Taiwan University of Science and Technology, Taipei 114, Taiwan, jeffreykuo@mail.ntust.edu.tw (C.-F.J.K.).
  • Shao-Cheng Liu
    Department of Otolaryngology-Head and Neck Surgery Tri-Service General Hospital, National Defense Medical Center No. 325, Sec. 2, Cheng-Gong Road, Neihu District, Taipei 114, Taiwan.