Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

Journal: European radiology
Published Date: Mar 28, 2020

Abstract

OBJECTIVES: We develop and validate a radiomics model based on multiparametric magnetic resonance imaging (MRI) in the classification of the pulmonary lesion and identify optimal machine learning methods.

Authors

  • Xinhui Wang
    School of Electronic and Information Engineering, Beijing Jiaotong University, Shangyuan Village No 3 in Haidian, Beijing, China.
  • Qi Wan
    Department of Ophthalmology, The People's Hospital of Leshan, Leshan, 614000, China.
  • Houjin Chen
    School of Electronic and Information Engineering, Beijing Jiaotong University, Shangyuan Village No 3 in Haidian, Beijing, China. hjchen@bjtu.edu.cn.
  • Yanfeng Li
    School of Electronic and Information Engineering, Beijing Jiaotong University, Shangyuan Village No 3 in Haidian, Beijing, China.
  • Xinchun Li
    Guangxi Key Laboratory of Pharmaceutical Precision Detection and Screening, Key Laboratory of Micro-Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department, Pharmaceutical College, State Key Laboratory of Targeting Oncology, Guangxi Medical University, Nanning 530021, China.

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