Application of deep learning to pressure injury staging.

Journal: Journal of wound care
Published Date: May 2, 2024

Abstract

OBJECTIVE: Accurate assessment of pressure injuries (PIs) is necessary for a good outcome. Junior and non-specialist nurses have less experience with PIs and lack clinical practice, and so have difficulty staging them accurately. In this work, a deep learning-based system for PI staging and tissue classification is proposed to help improve its accuracy and efficiency in clinical practice, and save healthcare costs.

Authors

  • Han Liu
    Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, China.
  • Juan Hu
    School of Public Health, Southeast University, Nanjing, Jiangsu, China.
  • Jieying Zhou
    Shulan Hospital, Hangzhou, China.
  • Rong Yu
    Department of Neurology, Jiulongpo District Peoples Hospital, Chongqing, 400050, China.

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