Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To evaluate the performance of deep learning using ResNet50 in differentiation of benign and malignant vertebral fracture on CT.

Authors

  • Yuan Li
    NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
  • Yang Zhang
    Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Enlong Zhang
    Department of Radiology, Peking University International Hospital, Beijing, People's Republic of China.
  • Yongye Chen
    Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, People's Republic of China.
  • Qizheng Wang
    Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, People's Republic of China.
  • Ke Liu
    State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, P.R. China.
  • Hon J Yu
    Department of Radiological Sciences, University of California, Irvine, CA, USA.
  • Huishu Yuan
    Department of Radiology, Peking University Third Hospital, Beijing 10019, China.
  • Ning Lang
    Department of Radiology, Peking University Third Hospital, Beijing 10019, China.
  • Min-Ying Su
    Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.