Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-Parametric Magnetic Resonance Imaging Based Convolutional Neural Network Model.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: Differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) is useful to guide treatment strategies.

Authors

  • Wei Xia
    Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Bin Hu
    Department of Thoracic Surgery Beijing Chao-Yang Hospital Affiliated Capital Medical University Beijing China.
  • Haiqing Li
    Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China.
  • Wei Shi
    Department of Orthopedics, Shenzhen Pediatrics Institute of Shantou University Medical College, Shenzhen, China.
  • Ying Tang
    Department of Ultrasound, Tianjin First Central Hospital, NanKai University, Tianjin, 300192, China. drtang2002@aliyun.com.
  • Yang Yu
    Division of Cardiology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Chen Geng
    Academy for Engineering and Technology, Fudan University, Shanghai, China.
  • Qiuwen Wu
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
  • Liqin Yang
    Academy for Engineering and Technology, Fudan University, Shanghai, China.
  • Zekuan Yu
    Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
  • Daoying Geng
    Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, Shanghai, 200040, China. GengdaoyingGDY@163.com.
  • Yuxin Li
    University of Cincinnati, Department of Chemistry, 312 College Drive, 404 Crosley Tower, Cincinnati, Ohio 45221-0172, United States.