Fourier transform infrared spectroscopy combined with deep learning and data enhancement for quick diagnosis of abnormal thyroid function.

Journal: Photodiagnosis and photodynamic therapy
Published Date:

Abstract

BACKGROUND: To evaluate the Fourier transform infrared spectroscopy (FT-IR) combined with deep learning models to allow for quick diagnosis of abnormal thyroid function.

Authors

  • Feilong Yue
    College of Software, Xinjiang University, Urumqi, Xinjiang, China.
  • Cheng Chen
    Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.
  • Ziwei Yan
    College of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China.
  • Chen Chen
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Zhiqi Guo
    College of Software, Xinjiang University, Urumqi 830046, China; Key Laboratory of Software Engineering Technology, Xinjiang University, Urumqi 830046, China.
  • Zhaoxia Zhang
    Department of Laboratory Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumuqi, 830000, China.
  • Zhaoyun Chen
    Xinjiang Medical University Affiliated First Hospital, Urumqi 830000, China.
  • Fengbo Zhang
    Xinjiang Medical University Affiliated First Hospital, Urumqi 830000, China.
  • Xiaoyi Lv
    College of Information Science and Engineering, Xinjiang University, Urumqi, China.