Automatic quantification and grading of hip bone marrow oedema in ankylosing spondylitis based on deep learning.

Journal: Modern rheumatology
Published Date:

Abstract

OBJECTIVE: This study has developed a new automatic algorithm for the quantificationy and grading of ankylosing spondylitis (AS)-hip arthritis with magnetic resonance imaging (MRI).

Authors

  • Qing Han
    Engineering College, Honghe University, Honghe Yunnan, China.
  • Yunfei Lu
    Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi 710071, China.
  • Jie Han
    Department of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • AnLin Luo
    Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi 710071, China.
  • Luguang Huang
    Xijing Hospital of the Fourth Military Medical University, Xian, Shaanxi, China.
  • Jin Ding
    Department of Gastroenterology, The Central Hospital of Jinhua, Jinhua, China.
  • Kui Zhang
    Department of Neurology, Mudanjiang Second People's Hospital, Mudanjiang 157013, Heilongjiang, China.
  • Zhaohui Zheng
  • JunFeng Jia
    Department of Clinical Immunology, PLA Specialized Research Institute of Rheumatology & Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
  • Qiang Liang
    Department of Clinical Immunology, PLA Specialized Research Institute of Rheumatology & Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
  • Shuiping Gou
    Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi, 710071, China.
  • Ping Zhu
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.