A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.

Journal: Frontiers in endocrinology
Published Date: Aug 8, 2022

Abstract

BACKGROUND: Diabetes mellitus (DM) is a chronic disease with hyperglycemia. If not treated in time, it may lead to lower limb amputation. At the initial stage, the detection of diabetes-related foot ulcer (DFU) is very difficult. Deep learning has demonstrated state-of-the-art performance in various fields and has been used to analyze images of DFUs.

Authors

  • Jianglin Zhang
    Department of Detmatology, The Second Clinical Medical College, Shenzhen Peoples Hospital, Jinan University. The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, 518020, Guangdong, China.
  • Yue Qiu
    Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
  • Li Peng
    School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China. pengli@jiangnan.edu.cn.
  • Qiuhong Zhou
    Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, China.
  • Zheng Wang
    Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Min Qi
    Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.

Keywords

External Resources

Popular Topics
Recent Journals