A combined model integrating radiomics and deep learning based on multiparametric magnetic resonance imaging for classification of brain metastases.

Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published Date:

Abstract

BACKGROUND: Radiomics and deep learning (DL) can individually and efficiently identify the pathological type of brain metastases (BMs).

Authors

  • Bo Zhang
    Department of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China.
  • Jinling Zhu
    Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, 510000, China.
  • Ruizhe Xu
    Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
  • Li Zou
    State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.
  • Yixin Lian
    Department of Respiratory & Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, PR China.
  • Xin Xie
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, PR China.
  • Ye Tian
    State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China.