Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography.

Journal: Archives of osteoporosis
PMID: 34626252

Abstract

UNLABELLED: DeepDXA is a deep learning model designed to infer bone mineral density data from plain pelvis X-ray, and it can achieve good predicted value for clinical use.

Authors

  • Chan-Shien Ho
    Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Linkou, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 333, Taiwan.
  • Yueh-Peng Chen
    Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital at Linkou, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 333, Taiwan. yuepengc@gmail.com.
  • Tzuo-Yau Fan
    Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital at Linkou, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 333, Taiwan.
  • Chang-Fu Kuo
    Department of Rheumatology, Allergy, and Immunology, Chang Gung Memorial Hospital, Taipei, Taiwan, ROC.
  • Tzu-Yun Yen
    School of Medicine, Chang Gung University, No. 259, Wenhua 1st Rd., Guishan Dist., Taoyuan City, 33302, Taiwan.
  • Yuan-Chang Liu
    Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, No. 5, Fuxing St., Guishan Dist., Taoyuan City, 333, Taiwan.
  • Yu-Cheng Pei
    Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Linkou; School of Medicine, Chang Gung University; Center for Vascularized Composite Allotransplantation, Chang Gung Memorial Hospital; Healthy Aging Research Center, Chang Gung University.

Keywords

External Resources

Popular Topics
Recent Journals