Meningioma consistency assessment based on the fusion of deep learning features and radiomics features.

Journal: European journal of radiology
Published Date: Dec 5, 2023

Abstract

PURPOSE: This study aims to combine deep learning features with radiomics features for the computer-assisted preoperative assessment of meningioma consistency.

Authors

  • Jiatian Zhang
    School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230022, China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
  • Yajing Zhao
    Department of Radiology, Huashan Hospital Affiliated to Fudan University.
  • Yiping Lu
    Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, Shanghai, 200040, China.
  • Peng Li
    WuXi AppTec Co, Shanghai, China.
  • Shijie Dang
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou.
  • Xuanxuan Li
    Department of Radiology, Huashan Hospital Affiliated to Fudan University, 12 Wulumuqi Rd. Middle, Shanghai 200040, China.
  • Bo Yin
    College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, 730000 People's Republic of China.
  • Lingxiao Zhao
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou.

Keywords

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