Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging.

Journal: International forum of allergy & rhinology
Published Date: Aug 1, 2022

Abstract

BACKGROUND: Distinguishing benign inverted papilloma (IP) tumors from those that have undergone malignant transformation to squamous cell carcinoma (IP-SCC) is important but challenging to do preoperatively. Magnetic resonance imaging (MRI) can help differentiate these 2 entities, but no established method exists that can automatically synthesize all potentially relevant MRI image features to distinguish IP and IP-SCC. We explored a deep learning approach, using 3-dimensional convolutional neural networks (CNNs), to address this challenge.

Authors

  • George S Liu
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA. gliu51@jh.edu.
  • Angela Yang
    Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA.
  • DaYoung Kim
    Department of Radiology, Ajou University School of Medicine, Wonchon-Dong, Yeongtong-Gu, Suwon, 443-380, South Korea.
  • Andrew Hojel
    Department of Computer Science, Stanford University, Stanford, CA.
  • Diana Voevodsky
    Department of Mathematics, Stanford University, Stanford, CA.
  • Julia Wang
    Microsoft.
  • Charles C L Tong
    Department of Otolaryngology-Head and Neck Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA.
  • Heather Ungerer
    Department of Otolaryngology-Head and Neck Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA.
  • James N Palmer
    Department of Otolaryngology-Head and Neck Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA.
  • Michael A Kohanski
    Department of Otolaryngology-Head and Neck Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA.
  • Jayakar V Nayak
    Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA.
  • Peter H Hwang
    Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Nithin D Adappa
    Department of Otolaryngology-Head and Neck Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA.
  • Zara M Patel
    Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA, USA.

Keywords

External Resources

Popular Topics
Recent Journals