Deep learning-based detection and segmentation-assisted management of brain metastases.

Journal: Neuro-oncology
Published Date: Apr 15, 2020

Abstract

BACKGROUND: Three-dimensional T1 magnetization prepared rapid acquisition gradient echo (3D-T1-MPRAGE) is preferred in detecting brain metastases (BM) among MRI. We developed an automatic deep learning-based detection and segmentation method for BM (named BMDS net) on 3D-T1-MPRAGE images and evaluated its performance.

Authors

  • Jie Xue
    Business School, Shandong Normal University, Jinan, Shandong, China.
  • Bao Wang
    Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA.
  • Yang Ming
    Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Xuejun Liu
    Department of Radiology, Hospital Affiliated to Qingdao University, Qingdao, China.
  • Zekun Jiang
    College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
  • Chengwei Wang
    Department of Neurosurgery, the Second Hospital of Shandong University, Jinan, China.
  • Xiyu Liu
    School of Management Science and Engineering, Shandong Normal University, Jinan, China.
  • Ligang Chen
    Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Jianhua Qu
    Business School, Shandong Normal University, Jinan, Shandong, China.
  • Shangchen Xu
    Department of Neurosurgery, Provincial Hospital Affiliated to Shandong University, Jinan, China.
  • Xuqun Tang
    Department of Neurosurgery, Huashan Hospital Affiliated to Fudan University, Shanghai, China.
  • Ying Mao
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Yingchao Liu
    Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Dengwang Li
    Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan, China.

Keywords

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