A Deep Learning Model for Classification of Parotid Neoplasms Based on Multimodal Magnetic Resonance Image Sequences.

Journal: The Laryngoscope
Published Date: May 16, 2022

Abstract

OBJECTIVE: To design a deep learning model based on multimodal magnetic resonance image (MRI) sequences for automatic parotid neoplasm classification, and to improve the diagnostic decision-making in clinical settings.

Authors

  • Xu Liu
    School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. liuxu16@bjut.edu.cn.
  • Yucheng Pan
    Department of Radiology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Yongfang Sha
    ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Shihui Wang
    Lab of Sensing and Computing, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China.
  • Hongzhe Li
    Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
  • Jianping Liu
    Department of Breast Surgery, Affiliated Hospital of Chengde Medical University, Chengde 067000, Hebei, China.

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