Brain metastasis tumor segmentation and detection using deep learning algorithms: A systematic review and meta-analysis.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date: Nov 13, 2023

Abstract

BACKGROUND: Manual detection of brain metastases is both laborious and inconsistent, driving the need for more efficient solutions. Accordingly, our systematic review and meta-analysis assessed the efficacy of deep learning algorithms in detecting and segmenting brain metastases from various primary origins in MRI images.

Authors

  • Ting-Wei Wang
    Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Ming-Sheng Hsu
    School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Wei-Kai Lee
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.
  • Hung-Chuan Pan
    Department of Neurosurgery, Taichung Veterans General Hospital, Taichung, 407, Taiwan.
  • Huai-Che Yang
    Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Cheng-Chia Lee
    Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan; Brain Research Center, National Yang-Ming University, Taipei, Taiwan.
  • Yu-Te Wu
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan. ytwu@ym.edu.tw.

Keywords

External Resources

Popular Topics
Recent Journals