DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.

Journal: Frontiers in endocrinology
Published Date: Sep 23, 2024

Abstract

INTRODUCTION: Diabetic foot ulcers (DFUs) are a severe complication among diabetic patients, often leading to amputation or even death. Early detection of infection and ischemia is essential for improving healing outcomes, but current diagnostic methods are invasive, time-consuming, and costly. There is a need for non-invasive, efficient, and affordable solutions in diabetic foot care.

Authors

  • Varun Sendilraj
    Coulter Department of Biomedical Engineering Emory and Gatech, Atlanta, GA, United States.
  • William Pilcher
    Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, Georgia, United States of America.
  • Dahim Choi
    Coulter Department of Biomedical Engineering Emory and Gatech, Atlanta, GA, United States.
  • Aarav Bhasin
    Johns Creek High School, Johns Creek, GA, United States.
  • Avika Bhadada
    Vivek High School, Chandigarh, India.
  • Sanjay Kumar Bhadadaa
    Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Manoj Bhasin
    Coulter Department of Biomedical Engineering Emory and Gatech, Atlanta, GA, United States.

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